1

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

Director, Clinical Science

Boston, MA · On-site

$86K - $118K/yr

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance. WHOOP ... Partner closely with Product, Data Science, Engineering, Regulatory, Quality, Legal, and Commercial ...

CWork closely with Product, Data Science, Engineering, Clinical Operations, Regulatory Affairs ... Experience working with clinical data, wearable data, real-world data, observational datasets, or ...

Staff Clinical Scientist

Boston, MA · On-site

$170 - $220/hr

Approximately 9-12+ years of relevant experience in clinical research, clinical science, medical ... Experience with wearable data, digital biomarkers, real-world data, SaMD, machine-learning ...

Approximately 9-12+ years of relevant experience in clinical research, clinical science, medical ... Experience with wearable data, digital biomarkers, real-world data, SaMD, machine-learning ...

Senior Data Platform Engineer

Boston, MA · On-site

$115K - $156K/yr

... analysts, and data scientists. • Lead platform engineering best practices across CI/CD ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

iOS Engineer II (AI Experiences)

Boston, MA · On-site

$56.25 - $77.50/hr

... their wearable devices. As an iOS Engineer II on AI Experiences, you will build and maintain features that connect members to data science algorithms, helping them improve their health through ...

Senior AI/ML Engineer (AI Platform)

Boston, MA · On-site

$113K - $155K/yr

... data science teams. Responsibilities : • Design, build, and operate production AI systems and ... Company : WHOOP provides wearable fitness technology and a subscription platform that tracks ...

Showing results 21-40

Wearable Data Science information

What is wearable data science?

Wearable data science is a field focused on analyzing and interpreting data collected from wearable devices such as smartwatches, fitness trackers, and health monitors. Professionals in this area develop methods to process large volumes of sensor data to gain insights into health, activity, and behavior patterns. The insights can be used to improve health outcomes, enhance user experiences, and support research in various domains including healthcare, sports, and consumer technology.

How do wearable data scientists typically collaborate with hardware engineers and software developers during product development?

Wearable data scientists work closely with hardware engineers to understand sensor specifications and data collection constraints, ensuring that the data is accurate and usable for analysis. They also collaborate with software developers to integrate data processing algorithms into wearable devices or companion apps, often providing feedback on data flow, storage, and real-time analytics. This cross-functional teamwork is essential for developing robust products that deliver actionable insights to users and meet technical requirements.

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

To thrive as a Wearable Data Scientist, you need a solid background in data analysis, statistics, machine learning, and a relevant degree in fields like computer science, engineering, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of wearable sensor platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills are vital for developing accurate models and delivering meaningful results that drive innovation in wearable technology.

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

AspectWearable Data ScienceWearable Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentResearch labs, tech companies, healthcare startupsHealthcare providers, fitness companies, wearable device firms
Employer & Industry UsageDevelops algorithms, models, and wearable tech innovationsAnalyzes wearable data to inform decisions, improve products, and report findings

Wearable Data Science focuses on developing algorithms and models to interpret wearable device data, often involving machine learning. Wearable Data Analysts interpret and visualize this data to support business or healthcare decisions. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

What cities near Boston, MA are hiring for Wearable Data Science jobs?

Cities near Boston, MA with the most Wearable Data Science job openings:

Infographic showing various Wearable Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 4% Internship, 67% Full Time, 26% Part Time, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Staff Research Scientist, Performance Science & Health Outcomes

United States Digital Space LLC

Boston, MA • On-site

$130 - $175/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At the company, we're on a mission to unlock human performance and healthspan. the company empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

the company is hiring a Staff Research Scientist to help shape and advance the scientific foundation behind the company 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 the company 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 the company 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 the company 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 the company 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 the company, 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.

the company is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

The the company 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 the company, 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 the company 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.

#J-18808-Ljbffr