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Health Data Scientist Jobs (NOW HIRING)

Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its ...

Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its ...

Data Scientist

Queens, NY · Hybrid

$78K - $80K/yr

Family and Child Health Bureau : Office of School Health Location : 30-30 47th Avenue, Long Island City, NY 11101 Reports to Title : Research Scientist of Health Data Direct Reports Title(s) : Not ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Work with health data and time-series sensor data * Connect biomedical sensor data with medical ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Work with health data and time-series sensor data * Connect biomedical sensor data with medical ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

Develop and deploy time-varying and multimodal risk prediction models which extract insights from contextual health data and physiologic signals * Scientific Leadership : Contribute to rigorous ...

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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 May 30, 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 are the key skills and qualifications needed to thrive in the Health Data Scientist position, 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 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 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:
What states have the most Health Data Scientist jobs? States with the most job openings for Health Data Scientist jobs include:
Infographic showing various Health Data Scientist job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 6% Full Time, 50% Part Time, 40% Contract, and 2% Nights. Highlights an 20% Physical, and 80% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Other

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund.

Data Science is at the core of our business. We are seeking Data Scientists who have dedicated themselves to excellence in quantitative disciples such as mathematics, statistics or physics and who share our mission of improving health outcomes through data science. If you are eager to collaborate with a world-renowned team Voloridge Health could be the home for you.

Summary of Job Functions

  • Building and evaluating modern numerical/modeling techniques
  • Working daily with complex, large-scale datasets
  • Collaborative research projects requiring deep thinking, technical skills, and ingenuity
  • Keeping abreast of the latest research related to applications of machine learning to health

Minimum Requirements

  • Deep understanding of modern machine learning techniques and algorithms
  • Must demonstrate exceptional aptitude in descriptive and inferential statistics
  • Extremely detail-oriented and self-motivated
  • Experience with time series data
  • Extensive experience working with large data
  • Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills     
  • Competent skills in programming languages such as Python, R, C/#/++
  • Ability to communicate actionable results with present senior leadership
  • Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience
  • Ability to work onsite in our Jupiter, FL office

Preferred Skills and Previous Experience

  • Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc.
  • Experience with relational SQL databases

 Benefits

  • Relocation assistance available for the right candidate
  • Highly competitive base salary
  • Health, dental, vision, life, and disability insurance
  • 401K

Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.