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

Research Scientist

Boston, MA ยท On-site

$98K - $125K/yr

Partner with Data Science to advance Folia's Home Reported Outcomes methodology across the design and execution of research programs, ensuring data collection faithfully captures the patient ...

Senior Research Data Scientist

Boston, MA ยท On-site

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of TV, using Big Data to build and enhance the user experience on the Roku streaming platform. Our ...

Senior Research Data Scientist

Boston, MA ยท On-site

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of TV, using Big Data to build and enhance the user experience on the Roku streaming platform. Our ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Showing results 41-60

Data Science Research information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do data science research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science research 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 data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is the difference between Data Science Research vs Data Analyst?

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.
Infographic showing various Data Science Research job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Principal Scientist, Data Science - Digital Media

Jj

Cambridge, MA โ€ข On-site

Full-time

Retirement, PTO

Re-posted 4 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine R&D Data Science is recruiting for a Principal Scientist, Data Science

The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

This role will serve as a strategic leader and subject-matter expert, defining the vision and execution strategy for data products within Medical Imaging and Digital Media. The role is responsible for advancing next-generation, data-driven capabilities that enable scalable insights and innovation across therapeutic and disease areas.

The position will lead critical workstreams in partnership with therapeutic and disease area teams, unlocking value through the integration of advanced data, technology, and domain expertise. The role will also reimagine existing processes, challenge the status quo, and drive modernization of imaging data ecosystems to improve efficiency and impact.

A strong foundation in medical imaging is essential, with the ability to translate complex, multi-modal imaging data into actionable data products and clinically relevant insights.

Responsibilities Include
  • Define Data Product Vision: Articulate an end-to-end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.

  • Drive Data Product Delivery: Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.

  • Enable Data Standards & Governance: Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.

  • Partner with Domain Leaders: Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.

  • Lead Cross-functional Execution: Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.

  • Modernize Imaging Ecosystems: Drive transformation of imaging pipelines, platforms, and workflows to improve operational efficiency and scalability.

  • Expand Data Product Portfolio: Support strategic growth of imaging-focused data capabilities aligned to clinical development priorities.

Education
  • Master's degree required; PhD or equivalent preferred

  • Advanced degree in Imaging Health Sciences or related field

  • Background in Radiology, Diagnostic Imaging, Interventional Medicine, Medical Physics, or similar

Experience & Skills
  • 10+ years of experience in medical imaging and multi-modal data environments

  • Strong experience building and scaling data products or data platforms

  • Demonstrated leadership in cross-functional and vendor collaborations

  • Hands-on expertise in imaging data standards (e.g., DICOM), PACS, and multi-modal data pipelines

  • Familiarity with advanced analytics and AI/ML (e.g., computer vision) in imaging contexts

  • Ability to translate complex imaging data into business and clinical value

  • Strong stakeholder engagement across clinical trial teams, data stewards, and technology partners

  • Demonstrated credibility as a subject-matter expert in imaging (research, publications, or equivalent experience is a plus)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
The following link to general company benefits information MUST also be included in the posting: Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits