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Modeling & Simulation Intern
Modeling & Simulation Intern-August 2024
Remote
Aug 30, 2025
About Modeling & Simulation Intern

  Embark on a transformative professional journey with our 2024 Sage Ambassador Program! Running for 12 weeks from May 28th to August 23rd, this remote internship for individuals currently pursuing a degree offers an immersive and enriching experience in a vibrant community known for its culture and Putting People First. The Sage Ambassador program offers a variety of career development workshops and programs which provide a firsthand glimpse into the innerworkings of a biotech organization. Shape your future with us this summer!

  We are looking for a Modeling & Simulation Intern to join our Data Science team!

  Responsibilities

  Under the guidance of Data Science staff, investigate and develop statistical methods for projecting unmeasured clinical outcomes.

  Test proposed methods by analyzing public data.

  Present the results at internal Sage meetings.

  Publish a manuscript and an R package based on the results.

  Qualifications

  Pursuing a Graduate program/degree in Statistics or Biostatistics

  An understanding of causal inference, multivariate modeling, Monte Carlo simulation, and related statistical theory.

  Strong R programming skills.

  Strong technical writing skills.

  Ability to work both independently and collaboratively.

  Embrace our core values: Put People First, Improve Lives, Cultivate Curiosity, Do Right, Forge New Pathways

  Excitement about the vision and mission of Sage

  #LI-Remote

  Protected personal characteristics include: age, race, ancestry, color, sex, national origin, sexual orientation, gender identity or expression, religious creed, mental or physical disability, pregnancy, genetic information, marital or civil union status, participation in the uniformed services of the United States, or any other characteristic protected under applicable federal, state or local law. To learn more, see Sage's Anti-Harassment and Equal Opportunity Policy

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