Senior Manager

Position Summary Hands‑on individual contributor on Drug Development Data Science and Advanced Analytics (DSAA) to advance global drug development by translating complex multi‑modal data into testable hypotheses and actionable insights. What You’ll Do Build and maintain Python pipelines for wearable/sensor time‑series data (QC, preprocessing, artifact removal, imputation, feature engineering). Develop and validate models for longitudinal sensor data (time/frequency representations, digital filtering, representation learning, deep learning such as Transformers/ensembles) with explainability. Apply rigorous longitudinal/repeated‑measures statistics (mixed‑effects/hierarchical models; handle within‑subject dynamics and missingness). Quantify clinically meaningful physiological measures (e.g., accelerometry/actigraphy, HRV, SpO₂) for disease progression/patient subtyping. Perform QC/validation of third‑party and vendor digital biomarker outputs; ensure reproducible evaluation (nested CV, LOO, OOB, structured codebases, version control). Execute multi‑modal biomarker discovery/segmentation across genomics, proteomics, imaging, flow cytometry, and other clinical trial/real‑world datasets; contribute to SAPs. Communicate results to technical/non‑technical stakeholders; collaborate cross‑functionally; manage deliverables. Key Requirements Ph.D. (or M.S. with 3+ years industry) in a relevant quantitative field. Deep expertise in digital health data science for wearable/sensor time‑series; strong Python for production‑quality code (Git/version control, modular pipelines). Experience with biomarker/multi‑modal analysis from clinical trials/EHR; modeling for longitudinal/time‑to‑event outcomes. Familiarity with clinical trial design/biomarkers; proficiency in Python/R/SQL and cloud platforms; strong communication and collaboration. Preferred Qualifications Experience with genomics/proteomics/imaging/flow cytometry/immunobiology; NLP; survival analysis/time‑to‑event; causal ML/explainable AI; molecular biology. Sleep analytics/circadian modeling; third‑party analytics validation. Scalable compute/deployment (e.g., AWS multi‑GPU). Compensation Overview Princeton, NJ, US: $164,110–$198,862 (plus possible incentive cash/stock based on eligibility). Benefits Health coverage; wellbeing support; 401(k) and insurance/disability offerings. Paid time off (flexible time off or annual vacation/holidays depending on location/role type). #J-18808-Ljbffr