It's simple, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences.

At DraftKings, The Crown Is Yours. 

We are driven by the thrill of the future and the pull of possibility. As an original, continuous gamechanger, we’re shaping the present and future of sports entertainment and digital experiences, leading the way into new markets with new products, and providing the ultimate experience to our customers. 

Here, we believe in the power and impact that comes from innovation, collaboration, and a winning culture. We’re a strong and dedicated global team of 4,000+ teammates driven to achieve great things. From your very first day, you’ll be part of an amazing culture that welcomes your ideas, champions your growth, and values you for you. 

Ready to own what’s next?

Industry: Mobile Gaming Apps
Company Size: 1,001-5,000 employees

DraftKings Inc.

Savvy Admin PROD

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Data Science Manager, you drive strategy and execution to power personalized experiences for millions of customers. You'll lead a team of data scientists and machine learning engineers, guiding projects from concept through production and delivering scalable, high-performing machine learning systems. In this role, you'll work closely with our Product, Engineering, Marketing, and Revenue teams to align priorities and drive measurable impact. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise the technical standards across the organization.

What You'll Do

- Manage, coach, and grow a team of data scientists and engineers focused on delivering impactful personalization initiatives.

- Guide your team through the Model Development Lifecycle (SDLC), championing technical rigor and engineering best practices.

- Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.

- Foster a team culture of collaboration, experimentation, and continuous improvement.

- Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.

- Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.

- Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.

- Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

What You'll Bring

- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.

- At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.

- Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.

- Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.

- Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.

- Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.

- Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.

- Experience in the gaming industry or a related domain is a strong plus.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Science Manager, Marketing

Boston Children's Hospital is a 404-bed comprehensive center for pediatric health care. As one of the largest pediatric medical centers in the United States, Boston Children's offers a complete range of health care services for children from birth through 21 years of age. (Our services can begin interventions at 15 weeks gestation and in some situations we also treat adults.)

We have approximately 25,000 inpatient admissions each year and our 200+ specialized clinical programs schedule 557,000 visits annually. Last year, the hospital performed more than 26,500 surgical procedures and 214,000 radiological examinations.

Our team of physicians and nurses has been recognized by a number of independent organizations for overall excellence, and we're proud to share some notable examples with you here.

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

Boston Children's Hospital

**Position Summary**

The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team (http://smarthealthit.org). In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

**Key Responsibilities**

- Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.

- Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.

- Query and manage health datasets using SQL on AWS cloud

- Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generates and tests hypotheses and analyzing and interpreting the results of experiments

- With minimal supervision and direction, completes assignments in the required timeframe; consistently adhering to and promoting standard operating procedures and best practices; maintaining and upgrading biomedical informatics tools, methods, and technologies; migrating data, documenting changes, and adjusting internal processes; resolving problems associated with assignments and seeking supervisor assistance when needed.

- Routinely leads, co-leads, or participates in biomedical informatics projects with other members from the BCH research community and external collaborators; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; coordinating work activities with other stakeholders; contributing to the resulting presentations and/or publications.

- Trains staff and researchers; effectively tailoring presentations; developing, implementing, and maintaining knowledge management systems.

- Creates or contributes to a range of compelling communications (e.g., PowerPoint presentations, e-mails, memos, scientific presentations, and publications) that clearly deliver content; preparing communications appropriate for management and internal distributions.

- Presents at project meetings; effectively conveying progress and asserting point of view; constructively discussing issues and providing facts; building credibility and trust by asking thoughtful questions and actively listening; running productive project meetings that advance problem-solving.

**Minimum Qualifications**

**Education**

- Bachelor's degree in a STEM; PhD, MD, MPH or MS preferred

**Experience:**

- 2-3 years of experience in a professional work environment outside of academic setting.

- Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation.

- Strong foundation in statistics and applied quantitative methods.

- Familiarity with fast healthcare interoperability resources (FHIR) is a plus and can be learned on the job.

- Excellent communication, teamwork, and problem-solving skills.

- Excellent problem-solving ability, collaborative spirit, and scientific curiosity.

The posted pay range is Boston Children’s reasonable and good-faith expectation for this pay at the time of posting.

Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

Senior LLM / Machine Learning Engineer – Clinical Platforms

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

Our mission at WHOOP is to unlock human performance. We believe everyone has an inner potential. A potential to perform at their highest level. We believe this potential can be harnessed by uncovering secrets your body is trying to tell you.
#UnlockYourself

Industry: Wellness and Fitness Services
Company Size: 501-1,000 employees

WHOOP

At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to provide personalized insights that improve fitness, health, and recovery.

As a Software Engineer I, you will contribute to the design, development, and maintenance of the services that power WHOOP’s core product experiences. You will work closely with experienced engineers, product managers, designers, and data scientists to build scalable, reliable systems that deliver meaningful insights to our members. This is a growth-oriented role ideal for engineers who are excited to learn, ship high-quality code, and make an impact in a fast-paced, mission-driven environment.

This posting is for an immediate new hire to our team. For those graduating in the fall of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you.

**Responsibilities**

- Contribute to the development and maintenance of backend services and APIs that power WHOOP’s member-facing features using technologies such as Java, Kafka, Postgres, and AWS.

- Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions.

- Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards.

- Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance.

- Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members.

- Contribute to technical documentation and knowledge sharing to support team velocity and long-term maintainability.

**Qualifications**

- Professional experience in backend software development (internship, co-op, or academic project experience acceptable).

- Experience building or interacting with RESTful APIs and relational databases (e.g., Postgres or similar SQL-based systems).

- Proficiency in an object-oriented programming language such as Java, or demonstrated ability to quickly learn new backend technologies.

- Familiarity with version control systems such as Git and standard development workflows.

- Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics.

- Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS.

- Strong problem-solving skills and a growth mindset, with a willingness to seek feedback and continuously improve.

- Effective communication skills and the ability to collaborate within a cross-functional team environment.

Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework .

**This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.**

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $105,000 - 145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Software Engineer I (Backend)

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