2027 Future Talent Program - Medical Data Scientist - Intern
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
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
The salary range for this role is $39,908 - $111,111 USD.