Data Science Engineer Jobs in Boston, MA
Data Science Engineer jobs in Boston are concentrated in the Longwood Medical Area, Kendall Square, and the Seaport District, with strong demand across biotech, financial services, and enterprise technology. Employers actively hiring include Liberty Mutual Insurance, Fidelity Investments, and Deloitte. See the openings below and apply to the ones that match your experience.
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INTRODUCTION
The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to advancing our company's vast and expanding oncology pipeline, with a focus on multimodal biomarker discovery, validation, and implementation.
ROLE AND RESPONSIBILITIES
The successful candidate will:
- Investigate proprietary and public real-world molecular datasets and clinical trials in conjunction with tissue and periphery assays with a goal of identifying robust multimodal biomarkers of response and resistance to an array of cancer therapies across indications and lines of therapy, with line of sight to diagnostic development.
- Leverage advanced AI/ML approaches to integrate multi-modal data including RNAseq, WES, ctDNA, digital pathology, proteomics, immune activation assays, and liquid biopsies to discover biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes.
- Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics, Therapeutic Area Biology, and Commercial Development.
BASIC QUALIFICATIONS
Education:
- Master's (with 12+ years) or Ph.D. (with 8+ years) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical expertise and relevant experience in a pharma, biotech or academic setting.
Required Experience and Skills:
- Extensive experience applying computational methods in cancer biology.
- Extensive experience and demonstrated expertise with scientific cloud-based computation environments (R/Python highly preferred).
- AI/ML exposure and experience including supervised and unsupervised machine learning, foundation models, and modern coding.
- Experience with genomic datasets across cancer types and therapeutic modalities with proven expertise in drug development pipeline impact.
- Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. TCGA, GTEx, DepMap, CPTAC) as well as RWD genomic, imaging and EHR datasets.
- Experience with leading a team of highly performing computational scientists.
- Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.
- Independent, flexible and collaborative mindset.
PREFERRED QUALIFICATIONS
- Proven experience with analysis of genomic data originating from clinical trials.
- Exposure and experience with companion diagnostic development, preferably for NGS.
- Understanding of the major concepts of cancer biology as represented in molecular data.
- Expert knowledge of methods of statistical learning and data mining and application to biological problems.
- Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
- Record of publishing in high profile scientific journals.
REQUIRED SKILLS
- Artificial Intelligence (AI)
- Cancer Genomics
- Cancer Research
- Cloud Computing
- Computational Methods
- Data Science
- Genomic Data Analysis
- Machine Learning (ML)
- Multimodal
- Multimodal Analysis
- Oncology
PREFERRED SKILLS
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.
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.
COMPENSATION
- Salary Range: $194,100.00 - $305,600.00
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.
Employee Status:
Regular
Requisition ID: R403647
See All 18 Data Science Engineer Jobs in Boston
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Find Data Science Engineer JobsData Science Engineer Job Market in Boston
Who's Hiring
- Liberty Mutual Insurance4

- Fidelity Investments3

- Deloitte2

- BNY1

- XPO1

Top Industries Hiring
- Investment & Asset Management6
- Insurance4
- Consulting & Professional Services3
- Accounting & Auditing2
- Technology & Software2
Data Science Engineer Jobs in Boston: Frequently Asked Questions
How do I get a data science engineer job in Boston?
Focus your search on Boston's three dominant hiring clusters: Longwood and the broader Fenway corridor for life sciences and biotech, Kendall Square and Cambridge for research-driven tech firms, and the Seaport for fintech and enterprise software. Candidates with experience in machine learning pipelines, cloud infrastructure (AWS or Azure), and Python stand out. Networking through local meetups tied to the Boston AI and data science community also gives applicants a measurable edge over remote applicants.
Which companies hire data science engineers in Boston?
Companies currently hiring data science engineers in Boston include Liberty Mutual Insurance, Fidelity Investments, and Deloitte, per current listings on Migrate Mate as of June 2026. Boston's hiring base skews heavily toward biotech and pharmaceutical firms in the Longwood corridor, alongside financial services companies and early-to-mid-stage tech startups based in the Seaport and Cambridge.
Are there remote data science engineer jobs in Boston?
Yes, though availability varies by employer type since many Boston data science engineer roles involve close collaboration with research, product, or quant teams that prefer in-person or hybrid arrangements. About 50% of data science engineer openings tied to Boston are remote or hybrid as of June 2026, with fully remote positions most common at enterprise software and fintech companies rather than biotech or academic medical centers.
How can I get a data science engineer job in Boston with little or no experience?
The most realistic entry path in Boston is targeting associate data scientist or junior data engineer roles at mid-size biotech firms and financial technology companies, which tend to hire earlier-career candidates than large pharmaceutical employers. Boston-area companies partnered with MIT and Northeastern often recruit co-op and recent graduate talent. Building a portfolio demonstrating end-to-end ML pipeline work, even on public datasets, and contributing to open-source projects gives Boston hiring managers concrete evidence of hands-on capability.
Which industries hire the most data science engineers in Boston?
Boston data science engineer roles concentrate in Investment & Asset Management, Insurance, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. Boston's density of world-class research hospitals, pharmaceutical companies, and quantitative finance firms creates sustained demand for engineers who can build and deploy models at the intersection of complex scientific or financial data.
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