PhD Candidate Internships

Research Scientist Intern

About the Role

We are seeking a dedicated a Master’s or PhD-level student in Health Economics or a related quantitative discipline to join the Data Science & Engineering (DSE) team for a 12–14 week full-time paid internship.

The DSE team develops Python-based simulation modeling and decision analysis software to address challenges faced by biopharmaceutical clients.

As a Research Scientist intern, you will have the opportunity to implement sophisticated health economic models that assess the cost-effectiveness of medical technologies. You will receive mentorship from a multidisciplinary team, gaining valuable insights and hands-on industry experience solving real-world problems within the pharmaceutical industry. You will begin with a structured onboarding period to learn modeling frameworks and internal tools, followed by participation in a client-facing modeling project.

What You Will Do

• Conceptualize a cohort or microsimulation model

• Utilizeadvanced techniques such as generalized risk-adjusted cost-effectiveness (GRACE)

• Producereproducible results presented through an interactive report or web application.

• Presentyour findings to team members and/or clients

All work will be performed in close collaboration with DSE team members to enhance your development experience. Interns will participate in sound-checking and results review sessions, receiving feedback and guidance throughout the internship.

Ideal candidates are collaborative and intellectually curious with a desire to expand their skills and knowledge. Successful candidates will have good written and verbal communication skills in addition to strong technical skills.

Responsibilities

• • Contribute to technical reports and documentation describing health economic methods and modeling results

• • Learn and apply internal modeling software to produce model outputs

• • Communicate findings effectively through presentations, web applications, and written reports

• • Collaborate with team members to validate model outputs and review results

Minimum Qualifications

• • Currently enrolled in a Master’s or PhD program in Health Economics, Decision Science, Biostatistics, Economics, or a related quantitative field

• • Understanding of cost-effectiveness analysis or health economic modeling

• • Experience writing technical documents, presentations, or research manuscripts

• • Basic programming experience in Python, R, SAS, or similar analytical languages

• • Strong written and verbal communication skills

Preferred Qualifications

• • Experience writing technical documents, presentations, or research manuscripts

• • Basic programming experience in Python, R, SAS, or similar analytical languages

• • Strong written and verbal communication skills