MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security. Research and development activities focus on long-term technology development as well as rapid system prototyping and demonstration. These efforts are aligned within key mission areas. The Laboratory works with industry to transition new concepts and technology for system development and deployment.

Industry: Defense and Space Manufacturing
Company Size: 1,001-5,000 employees

MIT Lincoln Laboratory

Savvy Admin PROD

**Group 22—Counter Weapons of Mass Destruction (C-WMD) Systems Group.**

The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges. We are looking for an individual with expertise in computational biology and data science who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction.

**Job Description**

Key Responsibilities:

- Assist with projects involving the analysis of complex biological datasets, including next-generation sequencing and metagenomic data.

- Apply state-of-the-art computational tools and algorithms, including machine learning and AI models, to biological questions related to multi-omics, immunology, and microbiome research.

- Assist with laboratory experiments to generate and validate biological data.

- Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.

Required Qualifications:

- Bachelor’s degree in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, Data Science or a related field, or a Computer Science degree with biology experience.

- Expertise in computational biology and bioinformatics, with proficiency in programming languages such as Python, R, or similar.

- Experience with state-of-the-art AI and machine learning approaches for biological data analysis.

- Excellent problem-solving skills and the ability to work independently and in collaborative, multidisciplinary environments.

- Experience designing, conducting, and interpreting the results of laboratory experiments

- Effective written and verbal communication skills.

- Ability to apply systems-level thinking to holistic biodefense solutions.

**Valued Experience**

Valued Experience:

- High-performance computing, bioinformatics, and data analytics

- Biosurveillance (e.g., epidemiology, physiological monitoring, environmental sampling)

- Medical countermeasure / pharmaceutical development

- Experience with genetic and/or protein language models

- Willing to obtain and maintain a Top Secret level DoD security clearance

Recent Graduate Hiring Range: $100,200 - $120,000

Experienced Hiring Range: $100,200 - $150,000

**Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.**

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

- Comprehensive health, dental, and vision plans

- MIT-funded pension

- Matching 401K

- Paid leave (including vacation, sick, parental, military, etc.)

- Tuition reimbursement and continuing education programs

- Mentorship programs

- A range of work-life balance options

- ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks .

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

**Requisition ID: ** 42990

Computational Biologist

At Merck, known as MSD outside of the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information, visit www.merck.com. 

This site is intended for residents of the United States and Canada and their territories only. FLS: http://merck.us/3TKXNuZ

Industry: Pharmaceutical Manufacturing
Company Size: 10,001+ employees

Merck

**Job Description**

Our company is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Today, we’re doubling down on this goal. Our company's Research Laboratories is a true scientific research facility of tomorrow and will take our company's leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.

The Data, AI & Genome Sciences department is looking for a passionate and talented computational biologist with deep expertise in image analysis to join our Translational Genome Analytics research team. In this role, you will apply AI/ML-based analytics to analyze large multi-scale and multi-omics imaging- and functional genomics-based datasets and closely collaborate with a cross-functional team of computational biologists, data scientists, and stakeholders in Discovery Research to drive target and biomarker discovery and drug development efforts. This role will support multiple therapeutic areas with a strong emphasis on Oncology.

The successful candidate will be a scientifically curious team player, strong communicator, and self-motivated learner with previous demonstrated expertise in computational image analysis, experience with multi-omics data integration and functional genomics assays, and an interest in leveraging AI/ML strategies to aid in our interpretation of complex biological data.

This role is based at our company's Research Labs in Cambridge, MA.

**In This Exciting Role, You Will**

- Contribute to multiple stages of drug discovery by interrogating high-throughput functional genomics and cellular profiling assays, including high-content imaging-based screens (e.g., optical pooled screens, cell painting, arrayed CRISPR assays), large-scale NGS-based screens (e.g., pooled CRISPR screens, Perturb-seq), and proteomic datasets.

- Translate biological questions into computational solutions by performing quantitative and rigorous statistical analysis on large-scale in vitro imaging datasets and clinical histopathology images for novel biomarker and target discovery.

- Leverage machine-learning approaches to integrate multiparametric image-derived features with high-throughput phenotypic screens.

- Closely collaborate with a broad variety of stakeholders, including molecular biologists, pathologists, bioinformaticians, and software engineers, and act as a proactive bridge and translator in cross-disciplinary communications.

- Employ best reproducible research and FAIR data practices to generate reusable analysis frameworks and reports to support target identification and validation efforts across therapeutic areas.

- Characterize novel targets coming from genetics, translational and disease pathway exploration, explore target engagement, research mechanisms of action, and provide functional validation of novel drug targets.

- Work with large internal and public biological data sets including Next Generation Sequencing (NGS) data (e.g. RNA-Seq, single cell RNA-Seq, spatial transcriptomics, WGS, CRISPR).

**Education Minimum Requirement**

- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field and 3+ years of experience.

- Master degree in areas mentioned above with 7+ years of experience.

- Bachelor degree in above areas with 11+ years of experience.

- Experience must be post-degree. Can be a mix of relevant academic or industry experience.

**Required Experience And Skills**

- In-depth experience with analyzing high-content cellular and/or tissue imaging assays (e.g., Cell Profiler, scikit‑image, OpenCV, etc.).

- Deep experience with computational analysis (e.g., stain normalization, WSI-level classification, segmentation, etc.) of histopathology imaging (e.g., H&E/IHC whole slide images).

- Advanced programming skills with application in imaging (Python) and statistical analysis (R, tidyverse packages).

- Demonstrated ability to distill complex data into interpretable visualizations (e.g., ggplot2, plotly).

- Demonstrated experience with computational analysis and biological interpretation of diverse large-scale experimental datasets from NGS and arrayed screening.

- Skilled at integrating results generated from multiple omics data sources, and biological knowledge bases to customize analytical approaches for discovery research.

- Experience with AWS cloud computing infrastructure (e.g., S3, EBS, EC2, etc) and HPC Linux environments.

- Experience with version control systems, such as Git, and the ability to collaborate on code bases and adapt to and work with existing analytic frameworks.

- Passion for problem solving and continuous learning; applied both to understanding biology and solving technical challenges.

- Self-motivated, proactive, detail-oriented, and independent phenotype supported by references.

- Excellent verbal and written communication skills for cross-disciplinary collaboration.

- Previous experience as full-time computational biologist.

**Preferred Experience And Skills**

- Experience with optical pooled screening (OPS).

- Close familiarity with histology/microanatomy and microscopy readouts.

- Experience with digital pathology.

- Experience with using or developing pipelines with workflow orchestration tools such as Nextflow.

- Hands-on experience with applying AI/ML methods for analysis of image-based biological readouts.

- Interest in identifying novel applications of AI/ML strategies for biological target discovery.

- Experience with and understanding algorithms for DNA-seq, RNA-seq, single-cell RNA-seq and/or functional genomics data.

- Strong publication record.

#EligibleforERP

**Required Skills**

Amazon Web Services (AWS), Cell Imaging, Computational Biology, High Content Image Analysis, High Content Imaging, High Performance Computing (HPC), Histology, NGS Data Analysis, Omics, Python (Programming Language), RNA Sequencing, Tissue Histology, Whole Slide Imaging

**Preferred Skills**

Digital Pathology, Functional Genomics

Current Employees apply HERE

Current Contingent Workers apply HERE

**US And Puerto Rico Residents Only**

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

**Requirements**

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

**U.S. Hybrid Work Model**

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The salary range for this role is

$144,800.00 - $227,900.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

**San Francisco Residents Only: ** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

**Los Angeles Residents Only: ** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

**Search Firm Representatives Please Read Carefully**

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

**Employee Status**

Regular

**Relocation:**

Domestic

**VISA Sponsorship**

Yes

**Travel Requirements**

No Travel Required

**Flexible Work Arrangements**

Hybrid

**Shift**

Not Indicated

**Valid Driving License**

No

**Hazardous Material(s)**

n/a

**Job Posting End Date**

05/15/2026

- A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

**Requisition ID: **R396052

Associate Principal Scientist, Computational Biologist and Image Analysis Expert

We're a medicine company turning science into healing to make life better for people around the world. It all started nearly 150 years ago with a clear vision from founder Colonel Eli Lilly: "Take what you find here and make it better and better." Harnessing the power of biotechnology, chemistry and genetic medicine, our scientists are urgently advancing science to solve some of the world's most significant health challenges.

General Information and Guidelines:
When you engage with us on LinkedIn, you're agreeing to these Community Guidelines: https://e.lilly/guidelines. 

If you have questions about a Lilly medicine, contact The Lilly Answers Center at 1-800-Lilly-Rx (1-800-545-5979) Monday through Friday, excluding company holidays.

Industry: Pharmaceutical Manufacturing
Company Size: 10,001+ employees

Eli Lilly and Company

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

The Opportunity

This is an individual contributor role for an experienced computational biologist who will lead analyses of multimodal biological datasets and develop methods that advance target discovery in cardiometabolic disease. The role sits at the intersection of spatial and single-cell omics, causal inference, AI/ML, and functional genomics.

The scientist in this role will independently design and implement end-to-end analyses of spatial and single-cell transcriptomic, proteomic, and metabolomic datasets, as well as functional genomics workstreams. In a team setting they will integrate results across modalities and with genetic evidence to build convergent frameworks for target prioritization, and develop predictive models to score targets, distinguish association from mechanism, and provide measures of confidence that inform portfolio decisions.

The role also involves advancing the team's quantitative toolkit — introducing ML/AI approaches, knowledge graphs, Bayesian methods, and causal modeling where they contribute — and influencing the data architecture and analytical standards that support reproducible, scalable science. The scientist will collaborate with internal AI teams, data engineering teams, translational biology teams, statistical geneticists, and statisticians to leverage and co-develop models for drug discovery, and will represent computational innovation within CMR and across the broader organization.

This role suits a scientist who combines depth in computation with the independence to drive programs and the collaborative instinct to elevate the work of those around them.

**Who We Are Looking For**

Someone who loves hands-on computational work and holds strong, experience-driven experience on methods. A scientist who leads through scientific influence: advising colleagues, raising analytical standards, and improving the science around them. The right candidate is drawn to connecting genetic evidence, public multi-omics data, and experimental model data to functional biology — building causal frameworks around targets and delivering measures of confidence and uncertainty that inform decisions on targets and molecules. They collaborate well with statisticians — adapting methods from other domains, co-developing new approaches, or stress-testing an existing framework to find where it breaks. They are pragmatic about methods: they know when a Bayesian model is worth the investment and when a simpler approach will do. They have enough AI and ML fluency — from agentic systems for routine tasks to foundation models and graph neural networks for complex problems — to work productively with AI teams and translate those capabilities into CMR science. Ideally, they are also motivated to build novel AI models themselves to advance drug discovery. Above all, they want to be part of a team motivated to build a robust platform together.

**What You'll Do**

**Multimodal Omics & Functional Genomics**

- Design and implement single cell and spatial omics analyses integrating imaging-based, sequencing-based, and multiplexed platforms to characterize changes in tissue architecture, cellular neighborhoods, and microenvironmental as well as system-level dynamics

- Build scalable pipelines to preprocess, QC, harmonize, and integrate large-scale spatial and molecular omics datasets, enabling discovery-ready data layers and downstream modeling

- Hands-on end-to-end analysis of functional genomics workstreams (CRISPR screens, perturb-seq, high-content perturbation readouts) and integrate results with transcriptomic, proteomic, and pathway-level data for target prioritization

- Ingest, develop and apply advanced AI/ML, statistical, and computational frameworks to analyze single-cell, spatial transcriptomic, proteomic, metabolomic, and multi-omics datasets at scale

**Collaboration with Discovery, Translational & Genetics teams**

- Partner closely with pre-clinical bench scientists and translational biologists in CMR to frame questions, design experiments with statistical rigor, and translate computational results into target discovery decisions

- Consume and interpret outputs from statistical genetics and integrate them with functional and molecular data to build convergent evidence frameworks for target nomination

- Develop predictive models that combine genetic, functional, and multi-omics evidence to score and rank targets, using causal reasoning to distinguish association from mechanism

- Contribute to virtual patient and disease modeling approaches where multi-omics and mechanistic evidence converge to support target validation and translational hypotheses

**Computational Methods & Platform Development**

- Apply and introduce modern quantitative methods — Bayesian modeling, causal inference and causal graph modeling, mechanistic or agent-based modeling, knowledge graphs, ML/AI for target discovery and scoring — with pragmatic judgment about when each approach adds genuine value

- Evaluate and integrate novel AI approaches for multi-omics data analysis, including graph-based methods, generative models, representation learning, and foundation models

- Influence the design and implementation of scalable, reproducible analytical workflows for high-dimensional, multimodal data integration — contributing to the broader computational and data architecture that supports next-generation omics and ML workloads

- Influence data architecture, pipeline design, and analytical platform standards in collaboration with data engineering and infrastructure teams

**Cross-Functional Influence**

- Work with internal AI teams, statistics teams, and Lilly Research Nucleus to leverage internally built models and co-develop new computational approaches for drug discovery

- Champion standards in analytical rigor, reproducibility, and documentation across the computational biology community within and outside of CMR

- Advise fellow computational biologists through code review, collaborative analysis, and shared problem-solving

**What You Bring**

**Minimum requirements:**

- Ph.D. in computational biology, biostatistics, biological engineering, systems biology, applied mathematics, or a quantitative life science field, with training or research experience that combines analytical method development (Bayesian approaches, AI/ML, etc. ) with applied work in multi-omics, spatial omics, or functional genomics

**Preferred**

- 2+ years of post-doctoral or biopharma/biotech industry experience

- Experience with spatial omics platforms (spatial transcriptomics, multiplexed imaging, spatial proteomics), single-cell RNA-seq, proteomics, metabolomics, or multi-omics data integration

- Proficiency in Python and/or R with solid software practices — version control, documentation, reproducible workflows — and familiarity with scientific computing libraries

- Familiarity with workflow orchestration (e.g., Nextflow), cloud-native analytical environments, and data architecture in a research organization

- Demonstrated ability to analyze, integrate, and interpret large-scale, multimodal datasets, including experience designing scalable analytical pipelines

- Demonstrated experience in at least two of: Bayesian methods (e.g., PyMC, Stan), causal modeling, knowledge graph approaches, ML/AI applied to biological target discovery, causal inference methods, or functional genomics data analysis at scale

- Ability to critically interpret statistical genetics outputs and integrate them with molecular and functional data — you do not need to run GWAS, but you need to know what the outputs mean and how to use them

- History of embedded collaboration with experimental scientists, statisticians, AI teams, or other computational scientists across organizational boundaries

- Experience building predictive models or integrative evidence frameworks that combine genetic and functional data for target scoring

- Experience developing or contributing to novel ML/AI models or statistical or algorithmic approaches in a biological context

- Track record of leading through scientific influence — independently owning complex research programs, setting technical direction, and shaping priorities across teams without direct management authority

- Strong publication record in peer-reviewed journals or ML/AI venues, reflecting methodological innovation in computational biology, multi-omics analysis, or applied machine learning

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$166,500 - $266,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

Computational Biologist - Quantitative Methods & Target Discovery

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 16,000 professionals in over 55 locations globally. Guidehouse is led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Guidehouse

**Job Family**

Scientific Research & Analysis (Digital)

**Travel Required**

Up to 10%

**Clearance Required**

Ability to Obtain Public Trust

We are seeking a Computational Biologist with strong extensive proteomics experience to join our Bioinformatics team at the NIH. The computational biologist will independently support –omics projects, specifically, proteomics projects as well as others as needed, initiated by researchers and clinicians at the National Institute of Allergy and Infectious Diseases (NIAID) in the National Institutes of Health (NIH). This opportunity is a full-time position with Guidehouse and can be remote or on-site at NIH in Rockville, MD.

The candidate will operate in a multi-disciplinary group of scientists who provide support, training, and consultation services to the research community in the areas of bioinformatics and computational biosciences. The successful candidate for this position will be well-versed in proteomic methodologies, including but not limited to traditional to high-throughput technologies, self-directed professional who takes ownership of projects and acts autonomously to set priorities and drive results, highly collaborative, and will provide mentorship and leadership as a proteomics expert. Experience with designing proteomic projects and conducting data analysis using relevant scientific computing software and tools, open-source libraries, data-intensive workloads, and distributed high-performance computing systems is highly desirable. The successful candidate must have excellent written and verbal communication skills to interact with the research community and find the right solution for their diverse scientific analysis and computing needs.

**What You Will Do**

The successful candidate will work cooperatively with current computational biology specialists to:

- Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data

- Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications

- Gather detailed requirements from stakeholders and identify existing tools to perform the novel analyses or develop algorithms/tools to perform the analysis

- Document and manage collaborative and consultant assistance and training provided to researchers

- Provide on-demand support and troubleshooting to researchers in the use of computational biology software

- Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers

- Remain abreast on current and emerging computational biology literature, technologies, and tools

- Partner with software developers to integrate proteomics software solutions within enterprise platforms

**Experience/Skills**

**What You Will Need:**

- Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, proteomics or related life, physical, or computational sciences with at least two publications in high-impact journals demonstrating the use or development of proteomics methods

- FOUR (4) years hands on experience with either Computational Biology or Bioinformatics

- Good understanding of high-throughput proteomic technologies, protein-biology, molecular biology, and proteomics software (e.g., MaxQuant, Proteome Discoverer, Skyline, Spectronaut, FragPipe, Scaffold Quant, etc.)

- Demonstrated proficiency in the analysis of large-scale proteomics data ( LC-MS/MS, label-free and labeled-based quantitative proteomics, TMT, iTRAQ, post-translational modification, Olink, Somascan, etc.), proteomics file types (mzML, MGF, pepXML, IDML, etc.) and experienced with a broad spectrum of relevant open-source software or pipelines (Pyteomics, AlphaPeptStats, MSstats, proteoDA, MS-DAP, etc.).

- Experience working with relevant proteomics databases and browsers and their annotations (UniProt, PDB, STRING, PRIDE, Human Protein Atlas, and neXtProt)

- Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (Python, R, shell, Perl, etc.) as well as experience with code and documentation repositories such as GitHub.

- Proficiency in pathway analysis translating protein lists into biological insights using enrichment tools (GO, KEGG, IPA) and protein-protein interaction network analysis

- Experience with a high-performance parallel computing environment (e.g., SLURM, PBS, SGE)

- Familiarity with common methods of statistical analysis (linear mixed models, Bayesian approaches) to identify differentially expressed proteins and biomarkers

- Strong interpersonal, presentation, written, and oral communication skills to convey computational biology principles and concepts to non-specialists in a clear and precise manner and advise on relevant software and tools with a dedication to customer satisfaction

- Ability to work independently or as part of a multi-disciplinary team

- Excellent troubleshooting and problem-solving skills, including the ability to learn new software quickly

- Ability to concurrently work on multiple complex projects with effective time management skills, a high level of personal and professional drive and initiative, and attention to detail

- Proficiency with the use of open-source bioinformatics applications employing ontologies, pathways, and/or networks, at both the individual protein and proteomic scales

- Familiarity with problems and bottlenecks associated with storage and management of proteomics-scale data

- Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred

**What Would Be Nice To Have**

- Experience with one or more other omics analysis pipelines (QC, normalization, visualization, results reporting) and technologies listed below:

- Cytometry (traditional, spectral, mass/CyTOF cytometry, flowJo, OMIQ, Cytobank; relevant R and python libraries such as flowCore, CATALYST, diffcyt, cytofkit, FlowSOM, FlowIO, FlowUtils, etc.)

- Single-cell and spatial omics analysis using platforms such as 10x Genomics (GEX, Multiome, Visium, Xenium), Parse Biosciences, MERFISH, CITE-seq, with demonstrated experience in R/Python-based analysis frameworks (Seurat, Scanpy, etc.)

- Metabolomics/lipidomics (LC-MS, GC-MS, CE-MS, NMR for targeted or untargeted analysis; relevant R and Python libraries such as xcms, SpectriPy, MetaboAnalystR, pyOpenMS, Asari, pcpfm, TidyMS, lipidr, LipidMS, mixOmics, Lipydomics, LipidFinder, etc.)

- Proficiency in the analysis and integration of multi-omics datasets involving proteomics (e.g. integration with other omics data such as cytometric, transcriptomics, genomics, metabolomics, etc.)

- Experience constructing pipelines in open architecture platforms (e.g. Snakemake, nextflow, or R targets), including end-to-end tasks for proteomics analysis tools

- Strong background in molecular/cellular biology, immunology, and/or infectious disease research, including “bench” experience.

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

**What We Offer**

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

**Benefits Include**

- Medical, Rx, Dental & Vision Insurance

- Personal and Family Sick Time & Company Paid Holidays

- Parental Leave

- 401(k) Retirement Plan

- Group Term Life and Travel Assistance

- Voluntary Life and AD&D Insurance

- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

- Transit and Parking Commuter Benefits

- Short-Term & Long-Term Disability

- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

- Employee Referral Program

- Corporate Sponsored Events & Community Outreach

- Care.com annual membership

- Employee Assistance Program

- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

- Position may be eligible for a discretionary variable incentive bonus

**About Guidehouse**

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

~~Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. ~~

Proteomics Specialist

Founded in 2022 and headquartered in Boston, Stellaromics is revolutionizing biomedical research with its proprietary technology, unraveling complex 3D transcription and translation patterns within native biological tissue. At the forefront of their innovation is STARmap (Spatially-resolved Transcript Amplicon Readout mapping), their flagship product. STARmap empowers researchers to uncover gene expression patterns within intact tissue, facilitating the pinpointing of treatment targets and bolstering biomedical investigations.

Stellaromics is currently in the advanced stages of developing its Pyxa™ suite of products, meticulously crafted to empower researchers and clinicians in the creation of intricate cellular maps, thereby amplifying our comprehension of various diseases.

For comprehensive details, we invite you to explore our website at stellaromics.com. Join us in shaping the future of biomedical research.

Industry: Biotechnology Research
Company Size: 11-50 employees

Stellaromics Inc.

Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments.

**Overview**

We are seeking a highly skilled and customer-focused Computational Biologist to join our team and play a pivotal role in the success of our scientific collaboration and service project customers. This position blends cutting-edge computational biology with direct client engagement — from executing spatial transcriptomics service projects to troubleshooting pipelines and delivering clear, impactful results.

**Role Description**

The ideal candidate will have a strong background in image analysis, machine learning, and data pipeline optimization, combined with exceptional communication skills to guide customers through complex datasets. You will work closely with our internal teams to ensure every project delivers actionable insights, and you will be a key driver of customer success with our STARmap assay on the Pyxa instrument.

We welcome candidates with **Bachelor’s, Master’s, or Ph.D. degrees ** in computational or quantitative biology-related fields.

**Key Responsibilities**

**Customer Project Execution & Reporting**

- Lead the computational execution of image analysis and spatial transcriptomics service projects for pharmaceutical, biotech, and academic collaborators.

- Prepare detailed, high-quality reports for customers, explaining results, methods, and interpretations in clear and actionable language.

- Serve as the primary point of contact for assigned projects, managing timelines and ensuring client expectations are exceeded.

**Pipeline Development & Troubleshooting**

- Develop and optimize analysis pipelines for new tissue types for the STARmap assay on the Pyxa instrument.

- Build rapid-debugging tools to identify and resolve pipeline performance issues quickly.

- Collaborate with assay development and software teams to implement pipeline improvements based on customer feedback and performance metrics.

**Technical Excellence & Innovation**

- Apply advanced image analysis, statistical modeling, and machine learning approaches to spatial transcriptomics datasets.

- Stay current with developments in image analysis, spatial biology, and AI/ML to integrate state-of-the-art methods into production pipelines.

- Contribute to knowledge sharing across the team through documentation, reusable code, and training materials.

**Qualifications**

- Bachelor’s, Master’s, or Ph.D. in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, or related field.

- 2–5 years (industry or postdoctoral) experience in image analysis, spatial transcriptomics/genomics, and machine learning.

- Strong programming skills in Python and R with expertise in packages such as scikit-image, scikit-learn, TensorFlow, or PyTorch.

- Proven track record in developing, maintaining, and troubleshooting computational analysis pipelines.

- Experience communicating technical findings to both technical and non-technical stakeholders, particularly in a customer-facing context.

- Familiarity with high-performance and/or cloud computing environments.

- Passion for enabling scientific discovery through a combination of computational rigor and outstanding customer engagement.

- GitHub profile, code samples, or portfolio showcasing relevant work is highly encouraged.

**Why Stellaromics?**

- Innovative Technology: Be part of a company at the cutting edge of spatial biology and genomics, revolutionizing the way researchers understand biology.

- Impactful Role: You will have a significant impact on the department and the future of the company.

- Collaborative Environment: Work with a talented, passionate team in a culture that values creativity, innovation, and teamwork.

- Career Growth: As a high-growth company, we offer significant opportunities for professional development and career advancement.

**Compensation**

An attractive compensation and benefits package based on market pay data will be commensurate with candidate skills, qualifications, and experience.

If you are interested in becoming part of a growing team energized by limitless possibilities, please submit your resume for consideration. To learn more about Stellaromics and our technology, please visit our website at www.stellaromics.com.

Stellaromics is an Equal Opportunity Employer striving to build an inclusive and diverse workplace culture.

**The Pay Range For This Role Is**

130,000 - 165,000 USD per year(Boston)

Computational Biologist – Scientific Operations/Customer Success

Freenome is a high-growth biotech company on a mission since 2014 to create tools that empower everyone to prevent, detect, and treat their disease.

To achieve this mission, Freenome is developing next-generation blood tests to detect cancer in its earliest, most treatable stages using our multiomics platform and machine learning techniques. Our first blood test will detect early-stage colorectal cancer and advanced adenomas. 

We have raised more than $1.1 billion from leading investors like Perceptive Advisors, RA Capital Management, Roche Venture Fund, Kaiser Permanente, Novartis and the American Cancer Society’s BrightEdge Ventures. 
 
A ‘Freenomer’ is a mission-driven employee who is fueled by the opportunity to make a positive impact on patients' lives, who thrives in a culture of respect and cross collaboration, and whose work makes a significant impact on the company and their career.

Industry: Biotechnology Research
Company Size: 501-1,000 employees

Freenome

**About This Opportunity**

At Freenome, we are seeking a Senior Computational Biologist, Assay Development to help grow the Freenome’s Computational Biology, Assay Development (CBAD) team. As part of our team, you will apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in bioinformatics, statistics, and molecular biology, you will develop, write, and execute analysis plans and reports for the development and characterization of Freenome’s in vitro diagnostic devices and regulatory filings. You will work closely and cross-functionally with many teams, including Regulatory and Quality, Molecular Research and Development, Laboratory Operations, Biostatistics, Computational Science, and Engineering to enable the successful development of multiple molecular assays as part of Freenome’s diagnostic products.

The role reports to the Director of Computational Biology. This role can be Hybrid (2-3 days onsite in Brisbane, CA) or Remote role.

**What You’ll Do**

- Plan and execute development experiments for Freenome’s multiomics cancer screening tests.

- Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.

- Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection.

- Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams.

- Work closely with molecular and computational research teams developing Freenome’s IVD products for blood-based molecular assays involving cell-free DNA.

- Impact patient lives through the development and launch of high quality cancer screening technologies.

**Must Haves**

- Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.

- 3+ years of industry experience.

- Experience with molecular biology and next generation sequencing.

- Experience in experimental design and analysis of high-throughput, quantitative technologies.

- Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.

- Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation.

- Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.

- Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail.

- Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.

**Nice To Haves**

- Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred.

- Experience with a variety of NGS methods (e.g., WGS, target capture with UMI, bisulfite sequencing, RNA-seq).

**Benefits And Additional Information**

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ ~~freenome.com/job-openings/ ~~ for additional company information.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

~~Applicants have rights under Federal Employment Laws.~~

- Family & Medical Leave Act (FMLA)

- Equal Employment Opportunity (EEO)

- Employee Polygraph Protection Act (EPPA)

Senior Computational Biologist I

Michigan Medicine, based in Ann Arbor, Michigan, is part of one of the world’s leading universities.

Michigan Medicine is a premier, highly ranked academic medical center and award-winning health care system with state-of-the-art facilities. Our vision is to create the future of health care through scientific discovery, innovations in education, and the most effective and compassionate care. 

We want to be the leader in health care, health care reform, and biomedical innovation.

Michigan Medicine includes the U-M Hospitals and Health Centers; the U-M Medical School and its Faculty Group Practice; one of the nation's largest biomedical research communities; and education programs that train thousands of future health professionals and scientists each year. We were formerly known as the University of Michigan Medical Center; today that term applies generally to the collection of buildings on our main medical campus in Ann Arbor. 

We have a close partnership with the U-M School of Nursing and other health sciences schools at U-M. Through  the Michigan Health Corporation, we are able to form partnerships outside of our University.

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

Michigan Medicine

How to Apply

Please review the job summary and apply with a cover letter stating your interest in the position and outline skills and experience that relate to this position along with research interests, career aspiration.

**Job Summary**

The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and deep learning approaches to analyze single-cell sequencing and spatial expression data, including single-cell RNA-seq (scRNA-seq), single-nucleus ATAC-seq (snATAC-seq), and multiomic single-nucleus RNA-/ATAC-seq data. The primary responsibilities of the Computational Scientist include deriving biological insight from single-cell sequencing data across neurodegenerative dementias and developing novel methods for computational analysis of emerging technologies, such as multiomic sequencing and spatial transcriptomics.

**This position is hybrid.**

The Computational Scientist will stay current in the latest single-cell sequencing analysis methods and their biological application by attending and presenting at conferences. They will expand their professional network through collaborations with our external investigators and consortia (AMP-AD and Resilience-AD). Finally, they will have significant growth opportunities to develop novel and evaluate existing methods in the rapidly evolving field of single-cell and multiomic sequencing and to deploy them in advancing biological discoveries.

The Kaczorowski lab is in the Department of Neurology at the University of Michigan Medical School located in Ann Arbor, Michigan. The city is ranked among the top 10 places to live in the U.S, with a community that is pedestrian and bike friendly. The Michigan Neuroscience Institute (MNI) continues to be a leader in innovative, collaborative, and visionary research in the areas of brain science and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab.

Responsibilities*

The successful candidate will be able to plan, develop, execute, and analyze an independent research project in the context of a supportive lab and institutional environment. In addition, they will supervise and help train graduate students, undergraduate research assistants, and junior technicians in the lab. We are looking for someone that has the aptitude to learn new techniques, works well with others, and possesses strong critical thinking skills.

- Analyze scRNA-seq, snATAC-seq, multi-omic RNA-/ATAC-seq, and/or spatial transcriptomics data from quality control through generation of results under minimal supervision.

- Develop and publish manuscripts related to using multi-scale data for predicting disease and biological phenotypes from single-cell sequencing data, making them accessible to the community as well documented packages/libraries shared in online repositories (e.g., AD-Knowledge Portal).

- Provide leading contributions to internal and external grant applications.

- Participate in departmental and project activities, participate in conducting courses and workshops, help lab members, present results to the research community, and at conferences and workshops.

- Perform additional duties as assigned, according to research or lab needs.

Required Qualifications*

- Education: Must possess a MS in bioinformatics, statistics, biostatistics, computer science or a related field.

Desired Qualifications*

- Excellent verbal and written communication skills.

- Proficiency in Python and/or R in a Linux environment.

- Strong initiative, and motivation to learn new technologies and biological domains.

- An ability to explore and research new challenges creatively and with limited supervision.

- A background in running molecular dynamics simulations.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world?s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

**What Benefits can you Look Forward to?**

- Excellent medical, dental and vision coverage effective on your very first day

- 2:1 Match on retirement savings

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

Bioinformatician-Computational Biologist Associate

We use AI to understand human ability and match talent with the opportunities they're best suited for.

Industry: Software Development
Company Size: 51-200 employees

Mercor

**About The Job**

**Mercor ** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark **, **General Catalyst **, **Peter Thiel **, **Adam D'Angelo **, **Larry Summers **, and **Jack Dorsey **.

**Position: ** Bioinformatician

**Type: ** **Contract**

**Compensation: ** **$60–$85/hour**

**Duration: ** **2-week engagement**

**Role Responsibilities**

- Review representative problems from your assigned problem class to understand the data shape and expected output.

- Specify a complete toolkit including Python/R packages and system tools, each with a brief rationale.

- Validate the final toolkit to ensure it solves specific classes of computational biology problems.

- Shape how frontier models approach real scientific problems through your tool selections.

- Work independently and collaboratively to meet project deadlines.

**Qualifications**

**Must-Have**

- PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.

- Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics.

- Deep familiarity with the standard tool ecosystem for your subdomain (e.g., Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy).

- Proficiency in Python and/or R for bioinformatics workflows.

- Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST).

**Interview Process**

- Short screening questionnaire to assess subdomain expertise and tool familiarity.

**Application Process (Takes 20–30 mins to complete)**

- Upload resume

- AI interview based on your resume

- Submit form

**Resources & Support**

- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

- For any help or support, reach out to: support@mercor.com

~~PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.~~

,

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving, and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Why Work at Michigan?

Being part of something greater, of serving a larger mission of discovery and care — that's the heart of what drives people to work at Michigan. In some way, great or small, every person here helps to advance this world-class institution. It's adding a purpose to your profession. Work at Michigan and become a victor for the greater good.

Industry: Higher Education
Company Size: 10,001+ employees

University of Michigan

Oakland University harnesses the transformative power of education and research to inspire, challenge and elevate new and returning learners to maximize their golden potential amid a diverse and inclusive academic community in Greater Metro Detroit. A public doctoral research institution with more than 270 degree programs, OU provides best-in-class value, success, support and career immersion via personalized instruction, research opportunities, experiential educational offerings, internships and corporate partnerships.

Industry: Higher Education
Company Size: 1,001-5,000 employees

Oakland University

**Department: ** 0305 - Biological Sciences

Position Information

**Job Title: ** Post-Doctoral Research Associate - Computational Biologist

**Job Description Summary**

The Oakland University Institute for Data Science, in conjunction with scientists at the Universityof Michigan and Harvard have recently formed a collaborative American Heart Association funded Strategically Focused Research Network (https://newsroom.heart.org/news/researchers-awarded-15-million-to-study-inflammations-impact-on-heart-brain-health). This network has been established to focus on the interrelated domains of heart and brain health and aims to bring participating researchers together to unravel the biological mechanisms that the heart and brain have in common, as well as how these organs signal to each other and impact clinical outcomes. Despite the recognized interconnectedness of these health areas, especially in relation to metabolic, neurodegenerative, neurological, and neurocognitive disorders, few, if any, platforms offer integrated research solutions in this space. The role of the Institute for Data Science is to provide a computational platform that will be the heart of data analytics for this research network.

We are searching for a highly motivated and computationally skilled individual to join the team interested in harnessing, merging, and sharing data, algorithms, and computational resources to discover innovative insights, launch clinical and translational research studies, and evaluate treatments arising from our collaborative research efforts that relate heart and brain health and disease(s). The selected candidate will focus on methods for analyzing diverse data types and integrating ’omics expression data, imaging data, and wearable sensors data. The data types included will range from patient-specific to aggregated data, spanning the continuum of genetics, multi-omics, metabolomics, physiologic/wearable data, tissue, organ, imaging data, and patient-specific longitudinal electronic health record ( EHR ) data, including relevant Social Determinates of Health ( SDOH ) and geospatially encoded demographic and health outcomes data.

**Minimum Qualifications**

Recent PhD in computational Biology, Statistics, Computer Science or related field. Deep understanding of next generation sequencing data and bioinformatics algorithms. Provide best practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA -seq, ChIP-seq, ATAC -seq, Methyl-seq, DNA -seq, and Microbiome Sequencing. Multi-omics analysis is often needed. Proven experience working in a Linux cluster environment. Experience in cloud environments is also a plus. Familiarity with analysis of Biobank data, human microbiome sequence data (16S rRNA, metagenomics) and/or multi-omics data (e.g. transcriptomics or metabolomic).Strong background in one or more of the following: pedigree analysis, machine learning, statistical methods, variant annotation and interpretation, Genome Wide Association Studies ( GWAS ), imaging analysis, and wearable sensor data analysis. Knowledge of general principles for regulatory compliance, including understanding of the NIH Security Best Practices for Controlled Access Data Subject to the NIH Genomic Data Sharing ( GDS ) Policy (aka dbGaP compliance).Experience with project management.

**Special Instructions To Applicants**

**Oakland University Standard Language**

Oakland University is a nationally recognized doctoral university of high research activity located on 1,443 acres of scenic land in the cities of Rochester Hills and Auburn Hills in Oakland County, Michigan. The University has 142 bachelor’s degree programs and 138 graduate degree and certificate programs. Academics include programs in the College of Arts and Sciences, School of Business Administration, School of Education and Human Services, School of Engineering and Computer Science, School of Health Sciences, School of Medicine and School of Nursing. As an anchor institution in southeastern Michigan, Oakland University is committed to building ongoing and collaborative relationships with the surrounding communities. Community and civic engagement enhances the lives of our students and has a positive impact on our broader community.

**Open Date: ** 03/18/2025

**Open Until Filled: ** Yes

**Job Category: ** Part-time Faculty

**EEO Statement**

Oakland University is an Affirmative Action/Equal Opportunity Employer and encourages applications from women and minorities.

Others

Here at CHLA, we believe every child deserves to enjoy all those special moments that childhood has to offer, free from pain and suffering. This is what inspires our staff to be their best—and they’re equipped with everything they need to succeed. If you want to help create more special moments for children where you’re empowered to deliver the highest quality of care, this is the place to do it.

At CHLA — named best in California for treating children by U.S. News & World Report—we empower our team members to deliver the highest quality care. As a Magnet-designated hospital, we provide compassionate care for our patients more than 528,000 times each year. If you’re ready to make a difference for thousands of children while improving pediatric medicine, join us.

Industry: Hospitals and Health Care
Company Size: 1,001-5,000 employees

Children's Hospital Los Angeles (CHLA)

- This position is Hybrid: flexibility to vary based on research needs.**

**Schedule: ** Monday-Friday, 8:30 AM-5:00 PM

**Purpose Statement/Position Summary: ** The Senior Bioinformatics Scientist will lead the computational analysis of biological data. Will analyze, manage, and interpret experimental results from sequencing, high throughput, spatial, and/or other techniques in order to identify factors that are causal to or associated with genetic disorders or childhood cancers. Will establish workflows and software packages. Will develop customized pipelines, databases and novel methodologies as needed. The Senior Bioinformatics Scientist may have a role in mentoring junior bioinformatics analysts, and may lead various research projects that will result in novel insights and publications. Will also provide research support to investigators and assist in training investigators and new users to use bioinformatics applications and databases.

**Minimum Qualifications/Work Experience: ** PhD degree and 3+ years of related work experience. Or Master’s degree and 5+ years of related work experience.

**Preferred Skills**

- Demonstrated ability to develop and implement complex novel computational methods/algorithms.

- Demonstrated ability to organize and perform analysis of large-scale complex data sets including statistical tests, quality analysis, and machine learning, artificial intelligence, blockchain and or natural language processing.

- Experience with genomic/proteomic data analysis methods.

- Proficiency in various open source and commercially available bioinformatics resources, platforms and software.

- Advanced - expert level linux background and bash scripting experience.

- Expert object-oriented programming experience (C++, R and, or Java) with advanced visualization (HTML5, CSS, Javascript and Shiny).

- Advanced - expert scripting language experience (Perl and Python).

- Advanced - expert database development; structured and unstructured (SQL/MySQL/MongoDB/Redis).

- Familiarity with various publicly available databases such as HGMD, ClinVar, TCGA, ICGC, Ensembl, Refseq, UCSC, 1000 Genome and ExAC.

- Perform variant calling for rare and common variants from whole-genome sequencing data using state-of-the-art genomic analysis pipelines, including DRAGEN.

- Classify and annotate rare variants according to ACMG guidelines to support clinical and research applications.

- Conduct global and local ancestry analyses to enhance variant interpretation and improve diagnostic yield in diverse populations.

- Collaborate with multidisciplinary teams, including geneticists and clinicians, to interpret genomic findings and develop actionable insights.

- Demonstrated ability to manage multiple projects and overlapping deadlines and dependencies.

- Prepare and present research findings in formal reports and at scientific conferences, as well as contribute to peer-reviewed publications.

- Excellent communication skills, both written and verbal.

- Experience in NGS data analysis.

**Education/Licensure/Certification**

**Required: ** Master’s degree in bioinformatics or a related field.

~~**Preferred: ** ~~ PhD degree in bioinformatics or a related field.

Sr. Bioinformatics Scientist

**Job Family**

Scientist

**Travel Required**

None

**Clearance Required**

Ability to Obtain Public Trust

**What You Will Do**

We are searching for a Bioinformatics Scientist to provide support services to satisfy the overall objectives of the National Institute of Aging. This is a full-time opportunity located in Baltimore, MD.

- Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data.

- Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiological research.

- Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets.

- Provide large-scale genome-wide DNA and protein sequence analysis.

- Assist with development and maintenance of Oracle database for genomics and proteomics projects in the Translational Gerontology Branch (TGB).

**What You Will Need**

- Master’s Degree

- A minimum of ONE (1) year of experience working in bioinformatics, biomedical or clinical research, or related science field.

- Strong communication skills, both oral and written.

- Proficient in Microsoft Office Suite.

- Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred

**What Would Be Nice To Have**

- Previous experience working with NIH preferred.

The annual salary range for this position is $65,000.00-$108,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

**What We Offer**

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

**Benefits Include**

- Medical, Rx, Dental & Vision Insurance

- Personal and Family Sick Time & Company Paid Holidays

- Parental Leave

- 401(k) Retirement Plan

- Group Term Life and Travel Assistance

- Voluntary Life and AD&D Insurance

- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

- Transit and Parking Commuter Benefits

- Short-Term & Long-Term Disability

- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

- Employee Referral Program

- Corporate Sponsored Events & Community Outreach

- Care.com annual membership

- Employee Assistance Program

- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

- Position may be eligible for a discretionary variable incentive bonus

**About Guidehouse**

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

~~Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. ~~

Bioinformatics Scientist

At Personalis, we are transforming the active management of cancer through breakthrough personalized testing. We aim to drive a new paradigm for cancer management, guiding care from biopsy through the life of the patient. Our highly sensitive assays combine tumor-and-normal profiling with proprietary algorithms to deliver advanced insights even as cancer evolves over time. Our products are designed to detect minimal residual disease (MRD) and recurrence at the earliest timepoints, enable selection of targeted therapies based on ultra-comprehensive genomic profiling, and enhance biomarker strategy for drug development. Personalis is based in Fremont, California.

Industry: Biotechnology Research
Company Size: 201-500 employees

Personalis, Inc.

Personalis, Inc. is a leader in advanced genomics for precision oncology. NeXT Personal is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence. It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples. To enable cancer and population sequencing, Personalis' Clinical Laboratory was built with a focus on clinical accuracy, quality, big data, scale, and efficiency.

**Days Onsite: Monday & Tuesday**

**Summary:**

The Senior Bioinformatics Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. Further, the Senior Bioinformatics Scientist will work closely with our clinical evidence generation teams, applying our cell-free technology solutions to large cancer patient cohorts and profiling patient response to therapy with our cfDNA platforms. This position will directly contribute to a new generation of genomics-based precision-medicine products for profiling MRD, ctDNA dynamics, and patient response to treatment. Our products are used by pharma, biotech, hospitals, and clinicians for managing patient treatment and therapeutic selection.

**Responsibilities:**

- Design and develop novel cell-free technologies and products

- Collaborate closely with laboratory scientists to design experiments to develop and evaluate novel applications for cell-free DNA assays

- Draw on deep experience with genomics and statistics to model and improve performance of cell-free assays and features

- Synthesize large datasets to develop and evaluate new biological and technological hypotheses

- Partner with the clinical evidence generation team to ensure the applicability and evaluate the performance of novel assays or feature improvements

- Maintain a strong working knowledge of literature covering technological developments in the cell-free DNA and liquid biopsy space

- Publish results and present at conferences in exciting areas, including cell-free DNA and cancer genomics

**Requirements:**

- Advanced degree (Ph.D.) in bioinformatics, genomics, or a related field

- Extensive experience with cancer genomics

- Extensive experience with somatic mutational detection and filtering

- Experience with cancer liquid biopsy analysis

- Proficiency in the application of statistical methods to genomic applications

- Proficiency with at least one common programming language (e.g., Python, R)

- A track record of designing and implementing experimental approaches to confirm and elaborate upon findings from complex projects

- Experience publishing and presenting scientific results

The hiring range for this position is $155,000 to $190,000 per year, which may factor in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. Our full-time regular positions also include an annual performance-based bonus (or a sales incentive plan) and long-term incentive units (equity) provided as part of our compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Personalis is an equal opportunity employer and is committed to the full inclusion of all individuals. As part of this commitment, Personalis will ensure that persons with disabilities are provided with reasonable accommodations. If you need an accommodation to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your recruiter know, if/when they contacts you.

**Protecting Our Candidates: ** At Personalis, we value your security. Please note that all official correspondence from our team will come exclusively from **@ ****personalis.com ** email addresses. We will never ask for personal financial information or conduct interviews over text or chat platforms. If you receive a suspicious request, it is likely a scam. We are committed to a safe recruitment experience and actively work with authorities to investigate and prosecute cyber crimes targeting our community.

~~Personalis offers a competitive compensation package and benefits including medical, dental, vision, 401(k) match, ESPP, tuition reimbursement, sick/vacation time, commuter benefits/ EV charging stations, onsite gym, and wellness benefits. (For US only, benefits in other countries may vary.) ~~

Sr. Bioinformatics Scientist – Novel Cell Free DNA Applications

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