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Health Data Scientist Jobs (NOW HIRING)

Voloridge Health

Health Data Scientist

Jupiter, FL · On-site

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

Health Data Scientist

Jupiter, FL

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 ...

Fullpower Technologies, Inc.

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 ...

Fullpower Technologies

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 ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL

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 ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

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 ...

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

Healthcare is in crisis and the people behind the results deserve better. With more and more data ... But we need someone who can define the broader scientific and analytical system: what we should ...

OneStudyTeam

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 Jun 20, 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 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 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.

More about Health Data Scientist jobs
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:
What job categories do people searching Health Data Scientist jobs look for? The top searched job categories for Health Data Scientist jobs are:
Health Data Scientist jobs near you
Infographic showing various Health Data Scientist job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Health Data Scientist

Valiant Harbor International, LLC

Washington, DC • On-site

Full-time

Posted 12 days ago

Job description

Valiant Harbor International is a CVE Service-Disabled Veteran Owned Small Business that specializes in technical, programmatic, acquisition, compliance, and financial services for Government science and technology, research and development, and technological programs. At Valiant Harbor International, we emphasize our intense focus on helping federal government agencies identify and address organizational challenges to tailor and integrate specific solutions to solve their most difficult problems. Success is defined by our ability to meet our customers’ needs quickly, efficiently, and effectively.
Valiant Harbor International is seeking a detail-oriented Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases supporting the Advanced Research Projects Agency for Health (ARPA-H), Proactive Health Office (PHO). This is a Science and Engineering and Technical Advisor (SETA) role focused on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use. 
In this role, you will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria.
Key Responsibilities:
  • Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data.
  • Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage.
  • Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability.
  • Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts.
  • Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs.
  • Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions.
  • Serve as a technical bridge between AI developers, clinical experts, and program leadership.
  • Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation.
  • Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes.
  • Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences.

This position is suited for candidates who:
  • Think deeply about measurement, validity, and scientific rigor.
  • Are comfortable exercising judgment in ambiguous or under-specified evaluation contexts.
  • Maintain high standards for data quality and methodological integrity.
  • Communicate clearly across clinical, technical, and programmatic audiences.
  • Operate with ownership and accountability in high-stakes environments.
  • Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics.

Required Qualifications:
  • PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field.
  • 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles.
  • Hands-on experience with EHR, genomic, or multimodal healthcare datasets.
  • Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage.
  • Demonstrated ability to critically review and assess technical work across health data and AI domains.
  • Strong understanding of data governance, privacy, and compliance in healthcare contexts.
  • Excellent written and verbal communication skills, with experience producing high-quality technical materials.

Preferred Qualifications:
  • Domain expertise in rare disease, diagnostics, or clinical decision support.
  • Prior experience in technical advisory, evaluation, or SETA-style roles.
  • Experience collaborating closely with clinicians and healthcare stakeholders.
  • Experience working in fast-paced, multi-stakeholder, or early-stage environments.

Clearance Requirements: Ability to obtain a Public Trust.
Salary Range: Negotiable.
 
EEO Statement: Valiant Harbor International, LLC is an Equal Opportunity/Affirmative Action employer. Valiant Harbor International prohibits discrimination with respect to the hiring or promotion of individuals, conditions of employment, disciplinary and discharge practices, or any other aspect of employment on the basis of sex, race, color, age, national origin, religion, disability, marital status, sexual orientation, gender identity, pregnancy, veteran status, or any other protected class.  If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact (202) 417-6705 for assistance.

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