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Full Time Healthcare Data Scientist Jobs (NOW HIRING)

Sentara Healthcare

Healthcare Data Analyst

Norfolk, VA · On-site +1

Databricks Certification * Healthcare analytics or data science certifications Experience * Experience analyzing healthcare, clinical, financial, operational, or population health data. * Experience ...

Pwc

Payer Healthcare Data Scientist, Manager

San Diego, CA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Phoenix, AZ · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Des Moines, IA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Melville, NY · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Who We Are At Latica, our goal is to unlock the value of healthcare data to transform patient care ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

Pwc

Payer Healthcare Data Scientist, Manager

Charlotte, NC · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Baltimore, MD · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Pwc

Payer Healthcare Data Scientist, Manager

Cincinnati, OH · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

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All JobsHealthcare Data Scientist JobsFull Time Healthcare Data Scientist Jobs

Full Time Healthcare Data Scientist information

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$46K

$165K

$243.5K

How much do full time healthcare data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time healthcare 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 is the difference between Full Time Healthcare Data Scientist vs Healthcare Data Analyst?

AspectFull Time Healthcare Data ScientistHealthcare Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience in healthcareBachelor's degree in Data Analysis, Statistics, or related field; entry-level to mid-level experience
Work EnvironmentHealthcare organizations, research institutions, or tech companies focusing on healthcare data projectsHospitals, clinics, insurance companies, or healthcare consulting firms
Employer & Industry UsageUsed in healthcare research, predictive modeling, and advanced analyticsUsed for reporting, data visualization, and basic analysis of healthcare data

While both roles involve working with healthcare data, a Full Time Healthcare Data Scientist typically handles complex modeling and predictive analytics requiring advanced skills, whereas a Healthcare Data Analyst focuses on data reporting and visualization. The Data Scientist role often requires more technical expertise and experience in machine learning, making it suitable for those interested in developing innovative healthcare solutions.

What cities are hiring for Full Time Healthcare Data Scientist jobs? Cities with the most Full Time Healthcare Data Scientist job openings:
What are the most commonly searched types of Healthcare Data Scientist jobs? The most popular types of Healthcare Data Scientist jobs are:
What states have the most Full Time Healthcare Data Scientist jobs? States with the most job openings for Full Time Healthcare Data Scientist jobs include:
Full Time Healthcare Data Scientist jobs near you

Healthcare Data Scientist (RWD)

Medeloop

San Francisco, CA

Full-time

Posted 7 days ago

Job description

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.

Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.

Role & Responsibilities

  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).