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Health Data Scientist Jobs (NOW HIRING)

Ōura is hiring a remote candidate for Senior ML Data Scientist, Health Sensing. This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Python, Rust ...

The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System's data science capabilities in support of population health, care management ...

Primary Responsibilities Design and evaluate AI/ML solution approaches tailored to VA healthcare ... data science or machine learning will be considered. Prior experience supporting federal agency ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python ...

Data Scientist

Manhattan, NY · On-site

$190K - $220K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're hiring an exceptional data scientist to join our team (Boston or NYC office). In this role ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python ...

NY · On-site

$95K - $175K/yr

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) Updated: Yesterday Location: Remote ... Why Syneos Health * We are passionate about developing our people, through career development and ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

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Health Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do health data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for health data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a health data scientist do?

A Health Data Scientist analyzes complex healthcare data to improve patient outcomes, optimize operations, and support medical research. They leverage statistical modeling, machine learning, and data visualization to uncover insights from electronic health records, clinical trials, and other health-related sources. Their work helps healthcare providers make data-driven decisions, enhances public health strategies, and contributes to medical innovations. Effective communication and domain knowledge in healthcare are crucial for translating data findings into actionable recommendations.

What types of projects do health data scientists typically work on within healthcare organizations?

Health Data Scientists often work on projects such as analyzing patient outcomes, predicting disease trends, optimizing hospital workflows, and ensuring data quality for clinical research. They may collaborate closely with doctors, nurses, IT professionals, and administrators to translate raw health data into actionable insights that drive improvements in care delivery. Day-to-day tasks can include building predictive models, developing dashboards for real-time data monitoring, and identifying patterns to inform public health initiatives. This collaborative and impactful work environment offers the opportunity to see direct results from your analyses, as your findings can help shape critical healthcare decisions and policies.

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

To thrive as a Health Data Scientist, you need a strong background in statistics, data analysis, and a relevant degree in fields such as data science, public health, or biostatistics. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare databases or platforms like SQL and HL7 are often required, with certifications such as Certified Health Data Analyst (CHDA) seen as an asset. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders help individuals excel. These abilities are critical for extracting valuable insights from health data, supporting decision-making, and improving healthcare outcomes.

What cities are hiring for Health Data Scientist jobs?

Cities with the most Health Data Scientist job openings:

What are the most commonly searched types of Health Data Scientist jobs?

The most popular types of Health Data Scientist jobs are:

Who are the top companies hiring for Health Data Scientist jobs?

The top employers for Health Data Scientist jobs are:

What states have the most Health Data Scientist jobs?

States with the most job openings for Health Data Scientist jobs include:

What are popular job titles related to Health Data Scientist jobs?

For Health Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Health Data Scientist job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior ML Data Scientist, Health Sensing

On-site

Other

Medical, Dental, Vision, PTO

Posted 16 days ago


Key responsibilities

  • Develop and deploy advanced machine learning pipelines and models for illness detection, focusing on time-series analysis and validation.

  • Collaborate with cross-functional teams to commercialize machine learning models and algorithms, serving as the primary science partner for illness-related work.

  • Design and execute statistical analyses to evaluate model performance, monitor algorithms in production, and generate insights for product decisions.


Job description

Ōura is hiring a remote candidate for Senior ML Data Scientist, Health Sensing. This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Python, Rust, Data Science, Deep Learning, Excel.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work—both in and out of the office. Our mission at Oura is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within - by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day.

This is a remote US role with a preference for candidates based in SanFrancisco, SanDiego, or Boston. We have offices in SanFrancisco and SanDiego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and NewYork) occasionally gather informally at local co‑working locations.

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our health sensing team. You will play a pivotal role in developing and commercializing cutting‑edge machine learning models and algorithms, leveraging wearable health data to help members detect and understand illness. This role carries a high degree of independence—you will own projects end to end, set your own technical direction, and partner directly with product and engineering to bring your work to members.

What you will do:
  • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative illness detection features, focusing on time‑series analysis and robust validation.
  • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross‑functional teams including scientists, product managers, software developers, product designers and test engineers, serving as the primary science partner for illness algorithm work.
  • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
  • Independently scope and conduct in‑depth exploratory research to identify and characterize novel health sensing features, translating proof‑of‑concept ideas into scalable, commercialized products.
  • Identify and prioritize the highest‑impact opportunities in a broad problem space, and drive them from open question to shipped capability with limited direction.
  • Monitor and improve the performance of algorithms already running in production at scale, using large‑scale member data to guide where to invest next.
  • Present and communicate complex technical concepts to diverse audiences.
Requirements
  • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science.
  • 5+ years of advanced programming experience in Python and SQL.
  • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time‑series analysis, and signal processing.
  • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms.
  • Proven ability to operate independently: comfortable being the sole scientist on a project, defining your own roadmap, and unblocking yourself without waiting for direction.
  • You move quickly and prioritize effectively.
  • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non‑technical audiences.
  • Domain knowledge in illness, infection, or immune response physiology, and experience with health data from wearables are significant pluses.
Benefits
  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own plus employee discounts for friends & family
  • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
  • Paid sick leave and parental leave
  • Oura takes a market‑based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job‑related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
  • Region 1 $172,000 - $203,000
  • Region 2 $158,000 - $187,000
  • Region 3 $147,000 - $174,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Rhode Island (RI), South Dakota (SD), Vermont (VT), WestVirginia (WV), and Wisconsin (WI).

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Skills required for this role include SQL, Python, Rust, and related tools for day‑to‑day development.

Seniority level: Senior.

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