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Full Time Healthcare Data Science Jobs (NOW HIRING)

Medeloop

Healthcare Data Scientist (RWD)

Boston, MA

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 ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

WellSky

Data Scientist

Overland Park, KS · On-site

$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:

Waymark

Data/AI Scientist II

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers ...

Curant Health

Healthcare Data Analyst

Smyrna, GA

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Scalepex

Healthcare Data Analyst

Dallas, TX

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Pwc

Payer Healthcare Data Scientist, Manager

Denver, CO

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Pwc

Payer Healthcare Data Scientist, Manager

Houston, TX

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

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Full Time Healthcare Data Science information

What is the difference between Full Time Healthcare Data Science vs Healthcare Data Analyst?

AspectFull Time Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in data analysis or machine learningDegree in Health Informatics, Data Analysis, or related field; certifications in data tools or healthcare analytics
Work EnvironmentHealthcare organizations, research institutions, or tech companies; focus on advanced analytics and modelingHospitals, clinics, insurance companies; focus on data reporting and basic analysis
Employer & Industry UsageUsed in healthcare research, predictive modeling, and machine learning applicationsUsed for reporting, data management, and operational insights in healthcare settings

Full Time Healthcare Data Science involves advanced analytics, machine learning, and predictive modeling, requiring specialized skills and certifications. Healthcare Data Analysts focus on data reporting, basic analysis, and operational insights. Both roles are vital in healthcare but differ in complexity, tools, and responsibilities.

What cities are hiring for Full Time Healthcare Data Science jobs?

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What are the most commonly searched types of Healthcare Data Science jobs?

The most popular types of Healthcare Data Science jobs are:

What states have the most Full Time Healthcare Data Science jobs?

States with the most job openings for Full Time Healthcare Data Science jobs include:

Full Time Healthcare Data Science jobs near you

Healthcare Data Scientist (RWD)

Medeloop

Philadelphia, PA

Full-time

Posted 19 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).