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Medical Data Scientist Jobs (NOW HIRING)

Brillient

Data Scientist

Silver Spring, MD · On-site

Ultimately, the Data Scientist recommends approval or disapproval of the application, in conjunction with, and countersigned by, the Medical Team Leader. * * The Data Scientist reviews submissions in ...

Reyes Holdings

Data Scientist

Rosemont, IL

This position offers a comprehensive benefits package that includes Medical, Dental, Vision ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided.Benefits are subject to change with or without notice. Data Scientist I Responsibilities Include:

Access Medical Labs

Data Scientist

North Palm Beach, FL · On-site

About the Organization Access Medical Labs is one of the largest specialty diagnostic labs in the ... Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join ...

Socket.dev

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Data Scientist I Responsibilities Include:

Reyes Holdings

Data Scientist

Rosemont, IL

This position offers a comprehensive benefits package that includes Medical, Dental, Vision ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

Syneoshealth

Sr Medical Scientist

New York, NY · On-site +1

Authors medical data queries and reviews query responses, approves query closure in association with Medical Director. * May assist Medical Director in patient profiles review, scientific review of ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

We are looking for a Senior Data Scientist to advance our core AI models and drive them to market ... Familiarity with healthcare and medical data * Familiarity with underwriting and claims, or ...

Visa

Data Scientist

Foster City, CA · On-site

$137K/yr

The Data Scientist at the Analyst / Team Lead level is responsible for solving complex business ... includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques ... This position offers a comprehensive benefits package that includes Medical, Dental, Vision ...

Inceed

Data Scientist

Kansas City, MO · On-site

Perks & Benefits: * 3 different medical health insurance plans, dental, and vision insurance ... Data Scientist opportunity, please submit your resume for consideration. Our client unable to ...

Thomas Jefferson University

Data Scientist

Orlando, FL · On-site

$100 - $125/hr

Works closely with the Data Science team to apply knowledge of existing data science principles ... Thomas Jefferson University, home of Sidney Kimmel Medical College, Jefferson College of Nursing ...

New

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

$100K - $200K/yr

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

FitMatch

Data Scientist

Fort Lauderdale, FL · On-site +1

Medical, dental, and vision insurance for you and your family * Paid Parental Leave * 401k About Us ... Department Data Science Role Data Scientist Locations Fort Lauderdale, New York, NY, San Francisco ...

System One

Data Scientist

Mclean, VA · Remote

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

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Medical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do medical data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for medical 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 is a medical data scientist?

A Medical Data Scientist is a professional who specializes in analyzing complex healthcare data to uncover insights that can improve patient outcomes, medical research, and operational efficiency within healthcare organizations. They use statistical analysis, machine learning, and data visualization techniques to interpret large datasets, such as electronic health records, genomic data, or clinical trial results. Medical Data Scientists work closely with clinicians, researchers, and IT specialists to develop predictive models, identify trends, and support evidence-based decision making. Their work is essential in advancing personalized medicine and optimizing healthcare practices.

What are the key skills and qualifications needed to thrive as a medical data scientist?

To thrive as a Medical Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in data science, computer science, or a related medical discipline). Expertise in tools such as Python, R, SQL, and experience with healthcare data standards (like HL7 or FHIR) or certifications in health informatics are highly valuable. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders set outstanding candidates apart. These skills ensure accurate analysis of complex healthcare datasets, enabling data-driven decisions that improve patient outcomes and operational efficiency.

How does a medical data scientist typically collaborate with healthcare professionals and interdisciplinary teams?

Medical Data Scientists often work closely with clinicians, biostatisticians, IT specialists, and researchers to analyze healthcare data and develop actionable insights. Collaboration may involve translating complex data findings into practical recommendations for patient care or operational improvements. Effective communication skills are essential, as you'll frequently present results to non-technical stakeholders and gather input to refine analytical models. This interdisciplinary approach helps ensure that data-driven solutions are both scientifically sound and clinically relevant.

What is the difference between Medical Data Scientist vs Data Analyst in Healthcare?

AspectMedical Data ScientistData Analyst in Healthcare
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; often less specialized in healthcare
Work EnvironmentResearch institutions, hospitals, healthcare tech companiesHospitals, clinics, healthcare organizations, insurance companies
Employer & Industry UsageUsed for developing predictive models, research, and advanced analyticsUsed for reporting, data visualization, and basic data interpretation

Medical Data Scientists focus on advanced analytics, predictive modeling, and research within healthcare settings, requiring specialized skills and education. Data Analysts in Healthcare typically handle data reporting and visualization tasks, often with less emphasis on complex modeling. Both roles are vital but differ in complexity, scope, and technical expertise.

What do you need to be a medical data scientist?

To become a medical data scientist, you typically need a strong background in data science, statistics, or computer science, often with a master's or doctoral degree in a related field. Proficiency in programming languages like Python or R, experience with healthcare data and tools such as SQL, and knowledge of medical terminology and privacy regulations are also important. Strong analytical skills and the ability to interpret complex medical data are essential for this role.

What does a medical data scientist in healthcare do?

A medical data scientist in healthcare analyzes large and complex medical datasets to identify patterns, improve patient outcomes, and support clinical decision-making. They use statistical methods, machine learning, and data visualization tools to interpret health data, often working with electronic health records, medical imaging, and genomic information. Strong programming skills and knowledge of healthcare regulations are essential for this role.
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Medical Data Scientist jobs near you
Infographic showing various Medical Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Silver Spring, MD • On-site

Brillient
IT Services • 1 - 5K employees
Learn more about Brillientexternal

Full-time

Re-posted 18 days ago

Job description

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability to obtain and maintain a Government public trust level security clearance. Candidates must have lived in the United States for at least three out of the past five years prior to your application date. You will also meet the residency qualifications if you lived abroad while on government or military duty or if you were a dependent of a federal employee of military member. 

Brillient has an immediate need for a Data Scientist to our government client's data science workstream including data aggregation and analytic projects to support both regulatory review and regulatory science. The employee should have significant expertise in data science.

JOB DESCRIPTION:

Specific tasks shall include, but not be limited to, the following:

  • * Reviews and evaluate clinical study protocols and reports submitted in NDAs (New Drug Applications), supplemental NDAs, new INDs (Investigational New Drug), new protocols and protocol amendments, and Emergency INDs.
  • * The Data Scientist is responsible for reaching regulatory decisions and recommending approval of safe and effective human drugs.
  • * Evaluates development plans and study protocols to determine if they are safe and if the design is likely to generate evidence of effectiveness. During these evaluations, the incumbent provides advice to pharmaceutical sponsors and investigators on the design of clinical studies.
  • * For NDAs, the Data Scientist reviews and evaluates reports of clinical trials to determine if the data are adequate and well-controlled, and sufficient to support the efficacy and safety of the drug under investigation. Ultimately, the Data Scientist recommends approval or disapproval of the application, in conjunction with, and countersigned by, the Medical Team Leader.
  • * The Data Scientist reviews submissions in support of revisions to labeling of approved NDAs. This often includes new data from clinical trials. The Data Scientist with input from other scientific discipline reviewers, reviews these data to determine if the data are sufficient to justify changes in the labeling.
  • * The Data Scientist compiles data to prepare special reports related to the work of the Division and develops background data pertinent for government programs; attends meetings, conferences, symposia and workshops of scientific organizations to stay current in his/her field of expertise and to exchange ideas with other scientists.
  • * The Data Scientist undertakes other tasks as assigned, including, but not limited to, preparation of responses to requests for information from the Agency, congressional inquiries, or consumer groups; preparation and presentation to Advisory Committees or other scientific groups.

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