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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