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Contract 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

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 ...

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 ...

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits ...

Detroit, MI (Hybrid) Job Type: Contract * Develop and deploy Machine Learning and AI models ... Experience with Streamlit for rapid prototyping and demos. * Healthcare industry experience is a ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

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Contract Health Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do contract health data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for contract health data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Contract Health Data Scientists?

Contract Health Data Scientists are professionals who analyze and interpret complex healthcare data on a contractual basis, rather than as full-time employees. They use statistical, computational, and data visualization techniques to uncover trends, improve patient outcomes, and support healthcare decision-making. Their work often involves collaborating with hospitals, clinics, research organizations, or insurance companies for specific projects or time-limited assignments. These roles require expertise in data analytics, healthcare systems, and often knowledge of regulatory requirements like HIPAA. Contract positions offer flexibility and the opportunity to work on a variety of projects across the healthcare industry.

What are the typical collaboration dynamics for a Contract Health Data Scientist working with healthcare organizations?

As a Contract Health Data Scientist, you will often work closely with interdisciplinary teams that may include clinicians, IT staff, project managers, and regulatory experts. Collaboration typically involves clarifying data requirements, sharing analytical findings, and integrating your insights into ongoing projects or operational workflows. Since you are working on a contract basis, effective communication and adaptability are essential, as you may need to quickly align with new teams and organizational priorities. Regular meetings and clear documentation help ensure your contributions support both short-term project goals and long-term health outcomes.

What is the difference between Contract Health Data Scientist vs Contract Data Analyst?

AspectContract Health Data ScientistContract Data Analyst
Required CredentialsTypically requires a degree in health informatics, data science, or related fields; certifications like Certified Health Data Analyst (CHDA) are commonUsually requires a degree in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate are beneficial
Work EnvironmentHealthcare organizations, government health agencies, research institutionsVarious industries including finance, marketing, healthcare, and technology
Employer & Industry UsagePrimarily in healthcare and public health sectorsAcross multiple industries, including healthcare, finance, and retail

Contract Health Data Scientists focus on analyzing health-related data to improve patient outcomes and healthcare services, often working within healthcare organizations. Contract Data Analysts have a broader scope, working across various industries to interpret data and support business decisions. While both roles require strong analytical skills, health data scientists specialize in healthcare data and often hold relevant health informatics credentials.

What are the key skills and qualifications needed to thrive as a Contract Health Data Scientist, and why are they important?

To thrive as a Contract Health Data Scientist, you need expertise in statistical analysis, data modeling, and healthcare data standards, typically supported by a degree in data science, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and healthcare databases like EHR systems, as well as certifications like Certified Health Data Analyst (CHDA), are highly beneficial. Strong problem-solving, communication, and collaboration skills set candidates apart in working with diverse healthcare teams and translating data insights. These competencies are crucial for generating actionable health insights, ensuring compliance, and driving data-driven decision-making in healthcare organizations.
More about Contract Health Data Scientist jobs
What cities are hiring for Contract Health Data Scientist jobs? Cities with the most Contract 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 Contract Health Data Scientist jobs? States with the most job openings for Contract Health Data Scientist jobs include:
Infographic showing various Contract Health Data Scientist job openings in the United States as of June 2026, with employment types broken down into 13% Full Time, 68% Part Time, and 19% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Posted 15 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.