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Data Science R Jobs in Boston, MA (NOW HIRING)

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

Partner closely with Software Development to turn Data Science products into best-in-class end-user ... Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well ...

Required Skills & Experience • Master's or PhD in Computer Science, Engineering, Statistics ... Python, R, and SQL • Experience with modern machine learning frameworks including PyTorch ...

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Showing results 1-20

Data Science R information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do data science r jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science r in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Boston, MA? The most popular types of Data Science R jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Science R jobs? Cities near Boston, MA with the most Data Science R job openings:
Infographic showing various Data Science R job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Senior Scientist I, Data Science (Boston)

sail biomedicines

Boston, MA • On-site

$130K - $170K/yr

Full-time

Posted 4 days ago


Job description

Join our team and drive the future of programmable eRNA™ therapeutics and In Vivo CAR‑T therapies — where AI‑driven biology, targeted delivery systems and next‑generation immunotherapy converge to redefine what ’ s possible for patients. As a key member of the Sail Biomedicines Data Science team, the Senior Scientist I will operate at the interface of platform and program, applying data‑driven approaches to champion broad platform efforts and hands‑on analysis of preclinical datasets to transform the treatment landscape for autoimmune diseases and beyond.

The ideal candidate will combine strong biological insight with quantitative rigor, applying data‑driven approaches to extract actionable understanding from complex preclinical and platform datasets while helping establish scalable computational foundations for future discovery efforts. In addition to supporting in‑vivo CAR immunology programs, this role will contribute to emerging capabilities in systems modeling, computational protein design, molecular modeling, and AI/ML‑enabled therapeutic engineering.

Partnering closely with experimental scientists, you will spearhead efforts to translate platform and program data into actionable understanding of biology, enabling rapid iteration across our therapeutic learning cycle.

Responsibilities
  • Perform in‑depth analysis of preclinical and platform datasets, including immunophenotyping, functional assays, and multi‑omics data to support both therapeutic programs and platform development
  • Integrate and interpret data across studies and contexts to generate biological insights that inform CAR activity, persistence, immune dynamics and platform‑level understanding of our therapeutics
  • Collaborate closely with immunology and platform teams to inform experimental design and interpret results
  • Work resourcefully with internal / external datasets to contextualize findings and strengthen conclusions
  • Apply statistical and systems modeling to develop deeper understanding of product and platform attributes and performance.
  • Apply and promote best practices in data structuring, annotation, and metadata usage to enable reliable, scalable and reusable downstream analysis across programs and platform efforts
  • Develop and maintain reproducible analysis workflows, with clear documentation and version control (Git) and contribute to a well‑organized data environment by following FAIR‑aligned practices in day‑to‑day work
  • Communicate findings clearly with collaborators through visualizations, presentations, and written summaries
Qualifications

Required:

  • Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics or related field
  • 3+ years of experience analyzing multifaceted biological datasets in biotech, pharma, or academia
  • Firsthand experience working in CAR‑T or RNA therapeutics.
  • Demonstrated experience applying modeling (statistical, system) to biological data.
  • Strong expertise in high‑dimensional data analysis (e.g., RNA‑seq, single‑cell, in‑vivo studies) with the ability to transform raw data to refined downstream biological interpretations
  • Proficiency in Python and/or R, with strong data analysis and visualization skills and a firm grasp of modern statistics (mixed models, Bayesian methods, etc.)
  • Experience building reproducible and well‑documented analysis workflows (Nextflow, Snakemake) and applying sound data organization and metadata practices
  • Demonstrated ability to champion cross‑functional efforts in close collaboration with experimental scientists, taking ownership and driving insights even in areas outside your core subject matter expertise

Preferred:

  • Computational design of Antibody/ VHH/ scFv /CAR proteins
  • Experience in immunology, cell therapy, or CAR biology, particularly in‑vivo systems
  • Experience integrating complex datasets and cross‑study meta‑analysis
  • Exposure to cloud‑based or collaborative data environments
  • Track record of impactful scientific contributions (publications or program support)
About Sail Biomedicines

Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.

Salary Range

$130,000 - $170,000

Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.

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