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Medical Data Scientist Jobs (NOW HIRING)

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

Irving, TX · On-site

$65 - $70/hr

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 ...

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 ...

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 ...

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

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 ...

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 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 ...

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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 ...

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

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.

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

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 ...

Data Scientist

$95K - $110K/yr

Summary We are seeking a data scientist to be a leading contributor towards our demand modeling and ... Medical, dental, and vision insurance * 401(k) with employer match * Paid parental leave (up to 14 ...

Educational scientific background such as MD, PharmD, PhD, Nursing degree, MS * ≥ 5 years of pharmaceutical clinical/medical data review experience is required, including clinical crosscheck ...

Data Scientist

New York, NY · On-site +1

$109K - $173K/yr

Data Scientist to formulate and apply mathematical and computational modeling methods towards data ... The Company offers a full range of medical, dental, and vision benefits. Eligible employees may ...

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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 Jul 1, 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.

Is 40 too late for data science?

Medical Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in statistics, programming, and healthcare data analysis. Age is less important than your ability to develop and apply the necessary technical and domain-specific skills.

Can data scientists make $300k?

Medical data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries like pharmaceuticals or healthcare technology. Salaries vary based on location, education, certifications, and the complexity of projects handled.

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 does a data scientist do in healthcare?

A medical data scientist analyzes healthcare data to identify patterns, develop predictive models, and improve patient outcomes. They use statistical tools, programming languages like Python or R, and work with electronic health records, clinical trials, and other health datasets to support decision-making and research.

What healthcare jobs pay over $100k per year?

Medical Data Scientists often earn over $100,000 annually, especially with experience, advanced skills in data analysis, machine learning, and familiarity with healthcare data systems. Other high-paying healthcare roles include physicians, surgeons, healthcare executives, and specialized nurses, which typically require advanced degrees and certifications.

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:
Data Scientist

Data Scientist

Sterling Computers Corporation

North Sioux City, SD • On-site

Full-time

Posted 19 days ago


Job description

Title: Data Scientist

Reports to: Director of Product and Business Development

Location: North Sioux City, SD, Other Sterling Locations

Job Description: Sterling is seeking a highly skilled and motivated Data Scientist to join our growing team. In this role, you will be instrumental in developing and implementing advanced data solutions that enhance our operational and financial reporting capabilities. You will work on internal data science projects, build sophisticated data products, and provide data-driven insights to support our sales teams. Additionally, you will play a key role in our nascent generative AI initiatives, exploring and applying cutting-edge techniques to unlock new possibilities.

Primary Responsibilities

  • Design, develop, and deploy complex data products and models to improve operational efficiency and financial reporting accuracy.
  • Collaborate with cross-functional teams, including operations, finance, and sales, to understand business needs and translate them into data science solutions.
  • Perform in-depth data analysis to identify trends, patterns, and insights that can drive business improvements and inform strategic decisions.
  • Develop and maintain robust data pipelines and integrate various data sources to ensure data quality and accessibility.
  • Support sales teams by providing analytical tools, predictive models, and custom reports that enhance sales performance and customer understanding.
  • Participate in the research, experimentation, and implementation of generative AI models and applications, contributing to the company's innovative efforts.
  • Communicate complex analytical findings and recommendations clearly and effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Qualifications

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Ph.D. is excellent.
  • Strong proficiency in Python is extremely important, including experience with libraries such as pandas, scikit-learn, and PyTorch.
  • Solid understanding and experience with data modeling principles.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Databricks.
  • Ability to work alongside data engineers including building and maintaining data pipelines.
  • Proven ability to work effectively alongside data analysts and data engineers, fostering a collaborative environment.
  • Must enjoy working with both technical and non-technical coworkers to understand their problems and collaboratively create innovative data solutions.
  • Demonstrates boundless curiosity and creativity in approaching data challenges.

Preferred Experience:

  • Experience with agentic AI concepts or applications.
  • UI prototyping capabilities, particularly with tools like Streamlit.
  • R programming experience.


Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.