Note: The job is a remote job and is open to candidates in USA. Merck is offering a summer internship through its Future Talent Program within the Research Labs Division and Healthcare Analytics Center of Excellence. The Medical Data Scientist Intern will support oncology-focused healthcare analytics by preparing real-world data, conducting statistical and machine learning analyses, and communicating findings to stakeholders.
Responsibilities
- Review literature and resources to build your knowledge of oncology
- Learn methodologies for analyzing real-world data (e.g., medical claims datasets, electronic health records)
- Prepare and process data for analysis
- Use analytic tools (Python, R, SAS, SQL) to conduct statistical and machine learning analyses and uncover insights
- Share your findings with the team and key stakeholders across Medical Affairs
Skills
- * Currently enrolled with at least 2 years of undergraduate study completed
- * Foundational knowledge of statistics and data analysis
- * Working proficiency in at least one analytic programming language (Python, R, or SAS)
- * Familiarity with MS Office (Excel, PowerPoint)
- * Comfort communicating findings clearly
- * Ability to work both independently and as part of a team
- Candidates located in Pennsylvania or New Jersey are preferred
- **Relocation:** No relocation
- **VISA Sponsorship:** No
- **Travel Requirements:** No Travel Required
- **Valid Driving License:** Yes
- * Studying a technical field (e.g., computational biology, engineering, computer science) or a humanities/social science field with a quantitative focus (e.g., psychology, neuroscience, public health)
- * Some graduate coursework completed
- * Fluency in R or Python
- * Experience with machine learning methods
- * Proficiency in SQL
- * Familiarity with a web application framework (e.g., Shiny, Streamlit, Dash)
- * Prior healthcare or life science research experience
Benefits
- This position can be completed remotely.
- The Future Talent Program features internships that last up to 12 weeks.
- These opportunities in our Research Labs Division can provide you with great development and a chance to see if we are the right company for your long-term goals.
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