Senior Manager

Role: Senior Manager in Drug Development Data Science and Advanced Analytics (DSAA), focusing on digital health, multi-modal biomarker data, and clinical trial analysis. Responsibilities: lead exploratory and hypothesis-driven data analyses involving wearable sensor data, genomics, proteomics, imaging, and flow cytometry; develop pipelines and models using Python, deep learning, statistical, and AI methods; collaborate on clinical trial biomarker discovery, patient segmentation, and predictive modeling; validate vendor outputs and ensure reproducible research standards; communicate findings to cross-functional teams including clinicians, biostatisticians, and data scientists. Requirements: Ph.D. in Computational Biology, Biostatistics, Biomedical Engineering, or related, with 1+ years of industry experience or Master’s with 3+ years; expertise in digital health data science, Python coding, biomarker and high-dimensional data analysis; knowledge of clinical trial design, drug development, and regulatory biomarker roles; proficiency in machine learning, cloud platforms, and statistical modeling; strong collaboration, communication, and problem-solving skills. Preferred: experience with genomics, proteomics, imaging, NLP, survival analysis, causal ML, and disease pathway biology. High-Value: digital health, wearable sensors, multi-omics, biomarker discovery, clinical trials (early to late phase), computational model development, cross-disciplinary collaboration. Work setup: not specified, likely hybrid given the role's collaborative nature.