Scientific Director (Quantitative Insights Lab - QuIL)
Key Responsibilities:
- Lead clinical and real-world evidence (RWE) strategy, execution, and innovation as scientific/technical lead.
- Lead agile, cross-functional teams for integrated data projects that inform pipeline and strategic decisions.
- Oversee curation, design, and analysis of patient cohorts using clinical, multi-omics, EHR, biobank phenotypic, and real-world data for drug discovery, biomarker identification, and patient stratification.
- Collaborate across functions (including RWD teams) to harmonize data workflows/methodologies and align evidence generation with pipeline needs.
- Communicate findings and strategy to internal leadership, external collaborators, and partners.
- Stay current on best practices for RWD/EHR analytics, multi-omics integration, and AI-driven approaches.
- Contribute to QuIL leadership team strategy and broader organizational initiatives.
Required Qualifications:
- M.D. degree required; board certification and clinical expertise strongly preferred.
- 4+ years hands-on experience in RWE and EHR analytics (pharma/biotech/academic research preferred).
- Track record designing/leading interdisciplinary clinical data science initiatives (science + project management).
- Advanced knowledge of data integration strategies for combining clinical, genomic, and real-world data.
- Excellent communication skills; experience presenting to stakeholders.
- Familiarity with R, Python, SQL preferred (not required).
- Familiarity with regulatory guidance for RWE and integrated evidence generation.
Preferred Qualifications:
- Industry experience with large-scale biobank and/or EHR datasets.
- Strong publication/presentation record.
- Experience aligning data science strategy with R&D pipeline objectives and measurable business outcomes.