Associate Director, Data Science, Functional Genomics

Role: Associate Director of Data Science in Functional Genomics within Translational Genome Analytics, leading the development of computational frameworks for functional genomics, single-cell perturbation screens, and image analysis, with an emphasis on integrating multi-omics data and applying AI/ML techniques. Responsibilities: design scalable analytics pipelines for CRISPR screens, build image analysis workflows, develop multi-evidence target prioritization strategies, and mentor scientific team members. Requirements: MS in a STEM field with 8+ years of experience analyzing large-scale NGS and functional genomics datasets; proficiency in statistical programming (R/Python), AWS, and Linux; experience with machine learning, single-cell RNA-seq, and functional genomics assay design. Preferred qualifications include a Ph.D. with 4+ years, expertise in CRISPR screening, AI-powered biological data tools, and deep knowledge of disease biology and immunology. High-value specifics: focus on functional genomics, single-cell perturbation, CRISPR screens, multi-omics data integration, AI/ML applications including LLMs, and translational target discovery. Collaboration with experimental and software teams, with up to 10% travel. Location: Cambridge, MA, hybrid work setup.