Guided by the needs of our patients and their families, 
Massachusetts General Hospital aims to deliver the very best health care in a safe, compassionate environment; to advance that care through innovative research and education; and, to improve the health and well-being of the diverse communities we serve.

Visit our careers page!  http://www.mghcareers.org

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

Massachusetts General Hospital

Savvy Admin PROD

Site: The General Hospital Corporation

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

**Job Summary**

The Udler Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) is seeking a motivated, enthusiastic candidate to join our research group.

Our research group is an interdisciplinary team of clinicians, biostatisticians, and computational biologists who are working together to investigate the use of genetics to improve care of people with diabetes. Our lab spans the CGM and the Diabetes Unit at MGH, as well as the Diabetes Initiative at the Broad Institute. We investigate both common and rare genetic variation contributing to diabetes and utilizes unprecedented sets of genetic data linked to clinical data in massive biobanks and study cohorts. Dr. Udler is the founding director of the MGH Diabetes Genetics Clinic and a member of the ClinGen Monogenic Diabetes Expert Panel. Our lab leads national consortia on the study of rare and atypical diabetes, as well as the heterogeneity of diabetes.

The successful applicant would contribute to both clinical and research capacities. The clinical work would involve working with Dr. Udler to order genetic testing and provide counseling to patients seen in the MGH Diabetes Clinic. The research tasks are clinically motivated and involve performing variant curation for variants in monogenic diabetes genes and assisting with development of novel genetic testing reports that communicate both monogenic and polygenic disease risk. The research tasks are funded in part by an NIH grant aimed at studying variants of intermediate penetrance and involves collaboration with leaders in the field of diabetes genetics and clinical genetics, including Dr. Josep Mercader at MGH/Broad; Dr. Matthew Lebo, Director of the Mass General Brigham Laboratory of Molecular Medicine; and Dr. Toni Pollin, Professor of Genetics at University of Maryland and leader of ClinGen curation efforts in monogenic diabetes.

**Qualifications**

Education

Master's Degree Genetic Counseling required

**Experience**

genetics experience 1-2 years preferred

**Knowledge, Skills And Abilities**

-  Strong patient/customer service skills.

-  Good documentation and organizational skills and good attention to detail.

-  Ability to adhere to detailed survey research protocols.

-  Ability to communicate effectively, both orally and in writing.

-  Strong understanding of molecular genetics and general chemistry.

-  Good attention to detail and analytical.

**Additional Job Details (if Applicable)**

**Remote Type**

Hybrid

**Work Location**

185 Cambridge Street

**Scheduled Weekly Hours**

40

**Employee Type**

Regular

**Work Shift**

Day (United States of America)

**Pay Range**

$66,518.40 - $99,517.60/Annual

**Grade**

5

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

**EEO Statement**

1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

**Mass General Brigham Competency Framework**

At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Genetic Counselor

About Genentech

We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal.

Making a difference in the lives of millions starts when you make a change in yours. If you’d like to join our team, view our openings at gene.com/careers. 

Our patient resource center is dedicated to getting patients and caregivers to the right resources. You can reach them at 1 (877) GENENTECH (436-3683)
Monday-Friday, 6am-5pm PST or patientinfo@gene.com. 

Community Guidelines:

1. We want to foster positive conversation around the issues we are passionate about. To that end, we remove profanity, content that contains threatening language, content that is aimed at private individuals, personal information, and repeated unwanted messages.

2. Don’t mention any medicines by name — ours or anyone else’s.
Because of the fair balance rules governing our industry, we cannot post any comments that reference any pharmaceutical brand, product, or service. Please do not mention any specific medicines by name, or include any links to third party sites in your comments.

3. This isn’t the place to report or discuss side effects.
This site is not intended as a forum for reporting side effects experienced while taking a Genentech product. Instead, you should report any side effects to Genentech Drug Safety at 1-888-835-2555. You can also report side effects of any prescription product directly to the FDA at 1-800-FDA-1088 or by visiting www.FDA.gov/medwatch.

4. Don’t pitch your product or service.
Please don't use our page as a place to promote your product or pitch your services. Please also avoid posting links to external sites. We reserve the right to remove any posts that are deemed promotional.

Industry: Biotechnology Research
Company Size: 10,001+ employees

Genentech

The Position

We advance science so that we all have more time with the people we love.

The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.

**The Opportunity:**

**As an integral member of our dynamic team, you will be:**

- Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.

- Developing methods to analyze and interpret new types of perturbation data.

- Applying statistics and machine learning to investigate data and extract biological insights.

- Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology & Translation departments

**Who You Are:**

- PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.

- Strong publication record of biological discovery and/or methods development.

- Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.

- Comfortable with the statistical principles behind current best practices in high-throughput data analysis.

- Fluent in Python and/or R.

- Excellent communication and presentation skills.

- Able to work successfully in cross-functional teams to collaboratively solve complex problems.

- Passionate about applying your analytical skills to understand health and disease.

**Preferred Experience:**

- Experience with in situ data (FISH or ISS barcode calling).

- Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).

- Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.

- Experience with applying machine learning to high throughput datasets is a plus.

Relocation benefits are available for this posting.

The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

**Benefits**

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Computational Scientist 3 - Cell & Tissue Genomics

Using whole genome sequencing and state-of-the-art bioinformatics, MyOme analyzes a single patient sample to produce comprehensive and clinically actionable reports that allow patients and their providers to make personalized lifestyle, prevention, and treatment choices.

Industry: Biotechnology Research
Company Size: 11-50 employees

MyOme

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

**Position Overview:**

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist.

**What You'll Do:**

- Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data

- Identify and develop tools for NGS data analysis

- Develop and test algorithms for incorporation into a production pipeline

- Design and implement quality control processes

- Help design and conduct clinical validation study plans and reports

- Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards

**What You'll Ne ****ed:**

- Master’s degree (PhD preferred) in computational biology, computer science or a related field

- 3+ years experience in industry analyzing NGS data

- Coding fluency such as Python or R

- Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.

- Ability to implement new tools and evaluate open source tools quickly

- Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl

- Familiarity with public datasets such as 1000 Genomes, UKB, All of Us

- Experience with detecting and interpreting different types of genetic variants

- Experience in statistical analysis of genetic data

- Experience managing computational tasks in a cloud environment (AWS or GCP).

- Solid understanding of the Linux environment and shell scripting

- Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, PacBio)

- Experience with Nextflow is a plus

- Excellent communication and presentation skills

- Experience working within a hybrid and/or remote team

**Location, Compensation, and Benefits:**

- **Location: **Hybrid role, 2 days onsite at our Menlo Park, CA campus.

- **Compensation: ** Annual salary range is $120,000 - $150,000, based on experience

San Francisco Bay Area pay range: $120,000 USD - $150,000 USD

**Benefits:**

- Comprehensive healthcare coverage (Health, Dental, and Vision)

- 401K

- Unlimited PTO

- Professional development opportunities

- Company-sponsored off-sites and team meals during in-person meetings

- Direct access to company leadership and the opportunity for career growth

**Diversity, Inclusion, and Equal Opportunity:**

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

**Why Work at MyOme?**

**Join us if you:**

- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level

- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

- Value humility, transparency, and collaborative problem-solving

- Thrive in fast-moving, dynamic environments with smart, driven teammates

- Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com

Bioinformatics Scientist

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**

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. ~~

Baylor College of Medicine is a health sciences university that creates knowledge and applies science and discoveries to further education, healthcare and community service locally and globally. Located in the Texas Medical Center, Baylor College of Medicine has affiliations with eight teaching hospitals, each known for medical excellence. The college has total research support of over $400 million annually, and more than 90 research and patient-care centers and units. Currently, Baylor College of Medicine trains more than 3,000 medical, graduate, nurse anesthesia, physician assistant, orthotics and prosthetics and genetic counseling students, as well as residents and post-doctoral fellows.

Industry: Higher Education
Company Size: 5,001-10,000 employees

Baylor College of Medicine

**Summary**

The Di Stefano Lab at Baylor College of Medicine's Stem Cell and Regenerative Medicine (STaR) Center and Center for Cell and Gene Therapy investigates the post-transcriptional mechanisms that govern stem cell potency and cell fate — with implications for regenerative medicine and cancer biology. We work with human and mouse embryonic stem cells and adult stem cells, both in vitro and in vivo, combining genome-wide sequencing approaches and CRISPR-based perturbations to dissect how RNA processing, translation, and chromatin regulation control developmental transitions and cell identity. Baylor College of Medicine is widely recognized for its exceptional, innovative, and collaborative research environment. The STaR center is in the Texas Medical Center, the largest biomedical complex in the world, immediately adjacent to Houston's vibrant Museum District and Hermann Park. A Senior Bioinformatics Analyst position is available in the Di Stefano Lab. The individual will identify and implement computational solutions to research problems at the intersection of epigenetics and RNA biology. They will take on highly interdisciplinary projects and apply state-of-the-art open-source software to basic and advanced analyses of next-generation sequencing data, with a focus on single-cell genomics and multi-omics, RNA translation, and epigenetics. In addition, they will have opportunities to present research findings at conferences and network with colleagues across the Texas Medical Center and beyond. The ideal candidate will be highly motivated, well-organized, able to manage time effectively, and capable of working both independently and as part of a team. They will obtain fundamental, career-building exposure in bioinformatics, computational biology, and biostatistics as they develop scripts in Python and R, while using Linux/Unix and high-performance computing (HPC) to analyze genomics data.

**Job Duties**

- Process, analyze, and interpret multi-omic datasets across CUT&Tag, RNA-seq, ATAC-seq, single-cell RNA-seq, single-cell multiomics, CLIP-seq, and ribosome profiling, from raw reads through biological conclusions.

- Develop and apply statistical and machine learning approaches tailored to each data type, including differential expression, chromatin accessibility, translational efficiency, and cross-modal data integration.

- Build and maintain reproducible, well-documented bioinformatics pipelines using workflow management systems (e.g., Snakemake, Nextflow) and version control (Git/GitHub), deployable on HPC environments.

- Collaborate closely with wet lab scientists to co-design experiments, integrate computational and molecular findings, and drive projects toward publication.

- Co-author peer-reviewed manuscripts and contribute to grant applications.

- Search and critically evaluate primary scientific literature to inform analytical decisions and identify emerging methodologies relevant to the lab's research program.

- Communicate results clearly to interdisciplinary audiences, including biologists, trainees, and external collaborators.

- Mentor graduate students and postdoctoral fellows in computational methods and analytical best practices.

**Minimum Qualifications**

- Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.

- One years of relevant experience.

**Preferred Qualifications**

- Master’s or PhD degree in a related field

- Demonstrated experience in Linux operating systems and SLURM cluster-based computing

- Proficiency in programming languages such as Python, Shell Scripting, and R

- Demonstrated ability working with open-source bioinformatics software

- Experience analyzing CUT&TAG, RNA-seq, ATAC-seq, and/or single-cell RNA-seq

- A record of taking initiative to solve problems and working to high-quality standards

- Attention to detail and accurate record keeping

- Ability to multitask, work and learn independently, and be self-motivated

**Work Authorization Requirement:**

**This position is not eligible for visa sponsorship. ** Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Bioinformatics Analyst II

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