Research Data Scientist Jobs in Massachusetts
Research Data Scientist jobs in Massachusetts are open across Boston, Cambridge, and Worcester and other Massachusetts metros, with employers like Lila Sciences, Dana-Farber Cancer Institute, and AbbVie hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Biomarker Data Scientist
As Biomarker Data Scientist within the Digital Health & Real World Sciences team, you are an integral part of our DS&AI organization within R&D. You develop innovative solutions to enhance the analysis of large datasets and diverse data types, such as clinical trial data, biomarkers, digital markers, and real-world data (RWD). Your statistical expertise will contribute to cross-functional teams and ensure the appropriate and efficient use of statistical planning and analysis methods during clinical development of Bayer products. You will help bridge the gap between machine learning and clinical statistics by integrating machine learning techniques into existing clinical workflows while also pursuing novel approaches to modeling varied responses across patient subgroups.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of the Biomarker Data Scientist are to:
- Perform advanced statistical analyses for clinical and biomarker studies, including causal inference, Bayesian methods, time-series analysis, and high-dimensional data analysis.
- Execute exploratory and confirmatory biomarker analyses across clinical trial data, omics data, and real-world data sources.
- Evaluate and prototype advanced analytical methods through literature review, applied use cases, and method validation.
- Support statistical evaluation strategies and analysis plans (e.g., SAPs, BEPs) for assigned studies and contribute statistical input to study protocols, including sample size calculations and methodological justification.
- Develops and implements standard processes for the analysis of routine (parts of) wet and digital biomarker assessments and automates insight generation for the production of statistical reports, presentations, and publications.
- Develop and maintain analytical code, pipelines, and tools to support study execution.
- Create and contribute to training materials on statistical and machine learning methods for clinical data analysis.
- Works independently at routine and complex quantitative questions and tasks.
- Act as go-to person with accountability for the incorporation of advanced statistical concepts into digital statistical solutions and develop statistics applications prototypes, including requirements.
- As needed, closely collaborate with scientists from various disciplines across DSAI and R&D, external software companies, and academic partners.
- Oversees and ensures accurate and timely delivery of quantitative work outsourced to external providers.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- MSc, PhD degree in statistics, biostatistics, computer science, bioinformatics, or closely related fields with several years of experience in the pharmaceutical industry.
- Strong programming skills in R and/or Python for data preprocessing, data analysis, statistical modeling, and machine learning, as well as solid SQL skills for data querying and manipulation.
- Strong data analytical experience working with large and complex datasets, including data extraction, cleaning, transformation, and feature engineering in a reproducible way (e.g. using Python and/or R, SQL, and version control). Experience collaborating with data engineers on data pipelines is a plus.
- Solid clinical data domain expertise:
- Experience with clinical data domain standards, such as CDISC, and a solid understanding of their application in the context of randomized controlled trials (RCTs) and study designs.
- Familiarity with real-world data (RWD) sources and methodologies, including the ability to integrate and analyze RWD for insights and evidence generation in life sciences.
- Good understanding of software design principles and experience building reproducible analysis workflows and model pipelines.
- Familiarity with modern data and ML tooling and collaborate effectively with data and ML engineers.
- Comfortable using AI-assisted coding tools to accelerate development and exploration, while retaining responsibility for code quality and analytical rigor.
- Experience exposing models or analyses via simple APIs or integrating with existing applications is an advantage, but not the primary focus.
- Experience developing and validating GxP-compliant analytical code and software, contributing to protocols, statistical analysis plans, and other regulatory-relevant documents.
- Ability to work effectively independently and cross-functionally, depending on project requirements.
- Outstanding problem-solving ability to resolve challenging scientific tasks.
- Strong interpersonal skills role modelling Dynamic Shared Ownership behaviors combined with excellent written and verbal communications.
Preferred Qualifications:
- Minimum of 5 years practical experience as a data scientist with at least two years spent in pharma, biotech or similar sector.
Employees can expect to be paid a salary between $104,480.00 - $156,720.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 06/30/2026
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.
Bayer is an E-Verify Employer.
LOCATION
Location: United States : Massachusetts : Cambridge || United States : New Jersey : Whippany
Division: Pharmaceuticals
Reference Code: 873873
Contact Us
Email: hrop_usa@bayer.com
See All 40 Research Data Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Research Data Scientist JobsResearch Data Scientist Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Research Data Scientist Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
- Lila Sciences7

- Dana-Farber Cancer Institute4

- AbbVie3

- Amazon2

- Horizon Therapeutics Usa2

Top Industries Hiring
- Biotechnology & Pharmaceuticals24
- Science & Research6
- Healthcare & Medical Services4
- Technology & Software2
- Consulting & Professional Services1
What Massachusetts Employers Look For
The qualifications that appear most often in research data scientist jobs across Massachusetts.
- PhD or Master's degree in statistics, computer science, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Strong background in statistical modeling, experimental design, and causal inference
- Experience publishing or presenting research findings internally or at academic conferences
- Familiarity with large-scale data processing tools such as Spark or distributed computing environments
- Ability to translate ambiguous research questions into structured, testable hypotheses
Research Data Scientist Jobs in Massachusetts: Frequently Asked Questions
How many research data scientist jobs are there in Massachusetts?
There are 40+ research data scientist openings in Massachusetts on Migrate Mate as of June 2026, with the most roles in Boston, Cambridge, and Worcester. New positions post regularly as employers across Massachusetts hire.
How much do research data scientists make in Massachusetts?
Research data scientists in Massachusetts earn a median of about $131,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,030 for the lowest 10% to over $206,220 for the top 10%. Pay rises with experience, specialty, and employer.
Which Massachusetts cities have the most research data scientist jobs?
Boston, Cambridge, and Worcester have the most research data scientist openings in Massachusetts right now, with additional roles spread across smaller metros statewide.
Which companies hire research data scientists in Massachusetts?
Employers hiring research data scientists in Massachusetts include Lila Sciences, Dana-Farber Cancer Institute, and AbbVie, based on current listings on Migrate Mate as of June 2026.
Are there remote research data scientist jobs in Massachusetts?
Yes. About 13% of research data scientist openings tied to Massachusetts are remote or hybrid as of June 2026. The rest are on-site roles based in Massachusetts metros.
How do I apply for research data scientist jobs in Massachusetts?
You can apply to research data scientist jobs in Massachusetts directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Massachusetts location, then apply to each one that fits.
See All 40 Research Data Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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