Epidemiologist

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Long term FSP engagement

Responsibilities:

• Support targeted epidemiologic research in specific disease areas, including systematic literature reviews, NH of disease for business development and early development indications
• Conduct analysis on commercial claims/EHR or research datasets using SAS and or R
• Applied experience with multiple commercially-licensed real world data, using RWD dictionaries and data schemas
• Able to perform code-review of SAS or R programming for observational data queries or adhocs
• Support timely execution of approved RWE tactics using literature reviews, RWD analytic no-code platforms, analyze large commercial RWD assets
• Support Study Execution Teams for observational studies
• Develop draft research protocols concept and related materials for review and approval by NIPPRC internal committees
• Utilize strong communications skills and understanding of strategies to promote and translate RWD/RWE methods and activities across the company
• Contribute to company publications strategy via development of conference abstracts, presentations, peer-reviewed manuscripts based on the findings of RWE studies

Minimum Qualifications:

• PhD in Epidemiology strongly preferred; will also consider a Master’s level candidate that is methodologically strong.
• Experience in conducting epidemiology or health services studies in any settings, e.g., industry, non-profit, government, or academia. 
• Formal training in Epidemiology/Health Services Research required
• Minimum 3 years of experience working in observational research within the life sciences industry or relevant academic, government, or consulting environment
• Experience using SAS and or R for analysis of claims data and/or electronic medical records in a private industry setting (pharma/biotech preferred).
• Experience with advanced statistical methods such as survival and regression

Preferred Qualifications:

• Prior pharma experience (inside a company)
• Demonstrated ability to design and execute observational research
• Strong interpersonal communication and study management skills
• Ability to take detailed observational study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings
• Ability to work effectively in a constantly changing, diverse, and matrix environment

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