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Internship 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 ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

The Tile Shop

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

CVS Health

Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Data ... project, internship, or employment experience in each of the following: R, Python, or SOL; NLP ...

Fullpower Technologies, Inc.

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 ...

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 ...

Conversica, Inc

Data Scientist

Seattle, WA

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

The Voleon Group

Data Scientist

Berkeley, CA

$7.5K/mo

Design and implement systems to ensure data correctness and monitor data health in data stores and ... including internships working with complex datasets, including curation, querying, aggregation ...

CVS Health

Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Completion of a university-level course, research project, internship, or thesis in each of the ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

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All JobsInternship Health Data Scientist Jobs

Internship Health Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jun 23, 2026, the average yearly pay for internship 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 does an Internship Health Data Scientist do?

An Internship Health Data Scientist works under the supervision of experienced data scientists to analyze healthcare data, develop predictive models, and help identify trends that can improve patient outcomes or healthcare operations. They often clean and process large datasets, use statistical and machine learning techniques, and assist in visualizing data for reports or presentations. This role provides hands-on experience with healthcare analytics tools and introduces interns to real-world health data challenges, making it a valuable stepping stone for a career in health data science.

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

AspectInternship Health Data ScientistHealth Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften holds a degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in healthcare organizations or research institutionsFull-time or part-time roles in healthcare providers, insurance companies, or research firms
Employer & Industry UsageUsed in healthcare research, hospitals, and public health projectsCommon in healthcare analytics, insurance, and hospital administration

The main difference is that an Internship Health Data Scientist is an entry-level, temporary position focused on learning and supporting data science projects, while a Health Data Analyst is a more established role involving ongoing data analysis and reporting in healthcare settings.

What types of projects do Health Data Science interns typically work on, and how do these contribute to real-world healthcare solutions?

Health Data Science interns often work on projects involving the analysis of electronic health records, patient outcome prediction, or health trend monitoring. These assignments usually require collaboration with cross-functional teams, such as clinicians, data engineers, and software developers. The work you do as an intern directly supports improvements in patient care, operational efficiency, or public health strategies, giving you valuable hands-on experience with real-world healthcare data and tools. You'll gain exposure to industry-standard analytics platforms and may also contribute to published research or organizational decision-making.

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

To thrive as an Internship Health Data Scientist, candidates generally need strong analytical skills, a foundational understanding of statistics, and coursework or experience in data science or public health. Familiarity with technical tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as knowledge of healthcare data standards (e.g., HL7, ICD-10), is highly beneficial. Effective communication, teamwork, and a keen attention to detail help interns interpret and convey complex data insights in collaborative healthcare environments. These skills are crucial for ensuring accurate health data analysis that supports evidence-based decisions and improves patient outcomes.
What cities are hiring for Internship Health Data Scientist jobs? Cities with the most Internship 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 Internship Health Data Scientist jobs? States with the most job openings for Internship Health Data Scientist jobs include:
Internship Health Data Scientist jobs near you

Health Data Scientist

Valiant Harbor International, LLC

Washington, DC

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.

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