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Medical Data Scientist Jobs (NOW HIRING)

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... We have various coverages and additional benefits to choose from: - Medical, Dental (Including ...

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 ...

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... This includes medical, vision, dental, paid time off, tuition assistance, wellness & life ...

Overview The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling ... For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and ...

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven ... medical, dental, and vision benefits; and wellness stipends. WA04 #LI-D LINI

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 ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... This includes medical, vision, dental, paid time off, tuition assistance, wellness & life ...

We offer a comprehensive benefits package that includes medical, dental, vision, life, and ... Data Scientist Location: Yorktown, Virginia Travel: Occasional CONUS travel required, up to 25 ...

We are seeking a Data Scientist to support customer insights and analytics initiatives. This role ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven ... medical, dental, and vision benefits; and wellness stipends. WA04 #LI-D LINI

Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms * Mentor and guide junior data scientists and interns, fostering ...

Write Python modules to automate Data Science tasks. Review Python code of junior colleagues ... This position is eligible for a benefits package that may include medical, dental, and vision; life ...

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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 Jun 9, 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, and why are they important?

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.

More about Medical Data Scientist jobs
What cities are hiring for Medical Data Scientist jobs? Cities with the most Medical Data Scientist job openings:
What states have the most Medical Data Scientist jobs? States with the most job openings for Medical Data Scientist jobs include:
Infographic showing various Medical Data Scientist job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 3% Part Time, 3% Temporary, and 11% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in San Antonio, TX.
Summary:
Work with the Insurance Data Science teams to develop, refine, test, and deliver model monitoring capabilities. This will include building prototype data assets, calculating metrics, constructing visualizations/dashboard prototypes, and engaging in technical review with AI/ML Engineers & Data Scientists. You may also be called upon to perform ad-hoc data/analysis requests, manage scheduled jobs in the Domino platform, collaborate with AI/ML engineers, and other as needed tasks for improving Model Ops in the Insurance Data Science team.
REQUIREMENTS:
* Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related degree/experience that demonstrates strong analytics, software development, and data manipulation
* 4+ years of machine learning engineering, data engineering, and/or data science experience
* 4+ years of experience with Python
* 4+ years of experience in developing SQL-based queries (including creation, optimization, and integration). Experience with Snowflake is preferred
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.