Quantitative Scientist

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Requirements:

• Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics).
• 3+ years of hands-on experience with messy data and analytical methodologies.
• 1+ years working with life science, pharmaceutical, or biotechnology organizations.
• Strong familiarity with health data analytics tools, especially SQL, Python, R.
• Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm.
• Ability to work effectively with cross-functional teams.
• Clear communication skills for internal and external presentations.

Responsibilities:

• Be a hands-on individual contributor on the Quantitative Sciences team.
• Assist with data cleaning, modeling, inference, and interpretation.
• Work on commercial retrospective clinical studies leveraging real-world data.
• Collaborate cross-functionally with teams to translate clinical investigation questions into detailed data analytics requirements.