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

Senior Director, Immunology Data & AI Systems

Cambridge, MA · On-site +1

$54.50 - $74.75/hr

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier ...

Neuroscience Tutor

Boston, MA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Somerville, MA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Newton, MA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Waltham, MA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Lowell, MA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 21-40

Data Science Neuroscience information

See Boston, MA salary details

$25.7K

$119.8K

$220K

How much do data science neuroscience jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science neuroscience in Boston, MA is $119,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,159.00 and $166,998.00 per year, depending on experience, location, and employer.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

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

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscience role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications, can enhance your qualifications for this interdisciplinary field.

What are the most commonly searched types of Data Science Neuroscience jobs in Boston, MA?

The most popular types of Data Science Neuroscience jobs in Boston, MA are:

What are popular job titles related to Data Science Neuroscience jobs in Boston, MA?

For Data Science Neuroscience jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Neuroscience jobs in Boston, MA look for?

The top searched job categories for Data Science Neuroscience jobs in Boston, MA are:

Infographic showing various Data Science Neuroscience 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,787 per year, or $57.6 per hour.

Staff Research Scientist, Performance Science & Health Outcomes

Whoop

Boston, MA • On-site

Full-time

Posted 19 days ago


Job description

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.
WHOOP is hiring a Staff Research Scientist to help shape and advance the scientific foundation behind WHOOP products, insights, and innovation. As a senior scientific leader on the Performance Science & Health Outcomes team, you will lead high-impact research that deepens our understanding of physiology, sleep, recovery, training, health outcomes, and human performance, while translating scientific discoveries into meaningful applications for WHOOP members. You will work at the intersection of science, technology, and product innovation, setting a high bar for scientific rigor and partnering across the organization to turn complex research questions into evidence that can improve how millions of members understand their health and performance.
RESPONSIBILITIES:
  • Lead high-impact research programs that advance our understanding of health, human performance, physiology, sleep, recovery, training adaptation, health outcomes, and healthspan, from scientific strategy and study design through analysis, interpretation, and dissemination.
  • Develop rigorous research methodologies, study protocols, analytical frameworks, and scientific approaches that generate actionable evidence for product innovation and strategic decision-making.
  • Partner closely with Product, Data Science, Engineering, Analytics, and other cross-functional teams to translate scientific findings into member-facing features, algorithms, insights, and experiences.
  • Analyze and interpret complex physiological, biometric, behavioral, and health datasets to test hypotheses, uncover meaningful relationships, and establish scientifically defensible conclusions.
  • Advance the scientific credibility and impact of WHOOP through peer-reviewed publications, conference presentations, external collaborations, and clear communication of research findings to scientific and non-scientific audiences.
  • Serve as a scientific leader and trusted advisor across WHOOP by evaluating emerging research and technologies, mentoring scientists and collaborators, and helping establish rigorous scientific standards and research practices across the organization.

QUALIFICATIONS:
  • PhD in Exercise Physiology, Kinesiology, Biomedical Engineering, Physiology, Sleep Science, Epidemiology, Public Health, Neuroscience, Data Science, or another relevant scientific discipline.
  • 8+ years of post-PhD research experience in academic, industry, or applied settings, with demonstrated expertise in health, human performance, physiology, sleep, health outcomes, wearable technology, or a related area
  • Demonstrated ability to independently define scientific questions and lead complex research programs from hypothesis generation and study design through analysis, publication, and real-world application.
  • Strong quantitative and analytical capabilities, with experience analyzing large or complex physiological, biometric, behavioral, wearable, or health-related datasets using rigorous statistical or computational methods.
  • Track record of scientific impact demonstrated through peer-reviewed publications, conference presentations, applied research, or other meaningful contributions to the field.
  • Ability to translate complex scientific evidence into clear recommendations and influence decisions across multidisciplinary technical and non-technical teams.
  • Experience collaborating across disciplines such as product development, engineering, data science, healthcare, sports performance, or consumer technology, with the ability to provide scientific leadership in an innovative, fast-paced environment.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

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
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 $130,000 - $175,000. 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.

Whoop logo

About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012