Associate Director, Data Science, Functional Genomics

Role: Associate Director of Data Science in Functional Genomics at a biopharma company, leading the development of computational and modeling frameworks for functional genomics and predictive modeling in early drug discovery. Responsibilities include designing scalable analytics pipelines for CRISPR screens (pooled, arrayed, single-cell, optical), integrating multi-omics and imaging data, applying AI/ML—including LLMs—for target prioritization, and mentoring a scientific team. The role influences discovery strategies by shaping evidence generation and interpretation. Requirements: MS in computational biology, bioinformatics, or related STEM field with at least 8 years of relevant experience, extensive expertise in large-scale NGS and functional genomics datasets, proficiency in R/Python, and experience with cloud platforms like AWS. Preferred qualifications include a Ph.D., postdoctoral or industry leadership experience, advanced skills in functional genomics, image analysis, deep learning, network analysis, and experience deploying AI tools. The position involves collaboration with experimental scientists, software engineers, and external partners, supporting therapeutic areas related to disease biology and immunology. Located in Cambridge, MA, with hybrid work setup and approximately 10% travel.