Medical Data Scientist Intern

TalentHop
Fully RemoteFull-time$39,908–$111,111Posted Sep 16, 2026

About the role

This is a Fully Remote Job

  • About Our Client:

The organization operates within the healthcare and life sciences industry, focusing on research and analytics to improve patient outcomes. It addresses challenges in understanding patient care and treatment patterns by applying data science and real-world evidence. Through its Research Labs Division and specialized centers such as the Healthcare Analytics Center of Excellence, the organization supports medical and scientific affairs globally to enhance healthcare delivery.

  • About the Opportunity:

The Medical Data Scientist Intern role offers a hands-on internship to apply data science techniques to oncology-related healthcare data. This position supports the organization's mission by analyzing real-world patient data to inform understanding of standard care, patient journeys, and profiles. The role contributes to improving patient outcomes by providing actionable insights that guide medical affairs decisions.

  • Responsibilities:

Review oncology literature and relevant resources to build domain expertise

Learn and apply methods for analyzing real-world healthcare data such as claims and electronic health records

Prepare and process data sets for analysis

Utilize analytic tools including Python, R, SAS, and SQL to perform statistical and machine learning analyses

Communicate findings to team members and stakeholders across Medical Affairs

  • Requirements:

Enrollment in an undergraduate program with at least two years completed

Foundational understanding of statistics and data analysis

Proficiency in one or more programming languages for analytics (Python, R, or SAS)

Familiarity with Microsoft Office applications including Excel and PowerPoint

Clear communication skills for presenting findings

Ability to work independently and collaboratively

Preferred Qualifications:

Academic focus in technical fields (e.g., computational biology, engineering, computer science) or quantitative humanities/social sciences (e.g., psychology, neuroscience, public health)

Some graduate-level coursework completed

Advanced proficiency in R or Python

Experience with machine learning techniques

Competency in SQL

Familiarity with web application frameworks such as Shiny, Streamlit, or Dash

Prior experience in healthcare or life sciences research

  • Pay Range and Compensation Package:

The salary range for this role is $39,908 - $111,111 USD.

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Responsibilities

  • Review oncology literature and relevant resources to build domain expertise
  • Learn and apply methods for analyzing real-world healthcare data such as claims and electronic health records
  • Prepare and process data sets for analysis
  • Utilize analytic tools including Python, R, SAS, and SQL to perform statistical and machine learning analyses
  • Communicate findings to team members and stakeholders across Medical Affairs

Qualifications

  • Enrollment in an undergraduate program with at least two years completed
  • Foundational understanding of statistics and data analysis
  • Proficiency in one or more programming languages for analytics (Python, R, or SAS)
  • Familiarity with Microsoft Office applications including Excel and PowerPoint
  • Clear communication skills for presenting findings
  • Ability to work independently and collaboratively

Skills mentioned

PythonRSQLData AnalysisStatistical AnalysisMachine LearningData ScienceMicrosoft ExcelData VisualizationExploratory Data Analysis

About TalentHop

Software Development11-50 employees