We are searching for exceptional candidates for a Principal Scientist, Spatial Omics, role as part of Multiomics Discovery located in Cambridge, MA or Spring House, PA. The ideal candidate will lead the development, validation, and deployment of cutting-edge spatial and molecular profiling capabilities to advance therapeutic discovery across neuroscience, oncology, and immunology, with deep expertise in at least one of these therapeutic areas preferred. This Principal Scientist role combines strategic leadership with hands-on scientific execution and is responsible for designing, optimizing, and applying molecular, phenotypic, and spatial assays that generate robust, reproducible, and biologically meaningful data. The Principal Scientist will drive end-to-end development of functional genomics and spatial biology workflows, including genetic perturbation libraries, massively parallel reporter assays (MPRAs), pooled screening approaches, and spatial genomics technologies. The successful candidate will bring deep expertise in genomic technologies and will develop custom experimental workflows that integrate perturbation library design, cellular engineering, spatial guide capture, and transcriptomic profiling. The role will also be responsible for establishing and scaling laboratory infrastructure, implementing new technologies, and providing technical leadership across multiple experimental platforms. Additional responsibilities include building data-generation pipelines, troubleshooting complex studies, and managing CROs and external technology partners to accelerate capability development and technology adoption. The position will provide opportunities to validate discoveries in relevant in vitro and ex vivo disease models and to collaborate closely with computational scientists to translate experimental findings into actionable biological insights. Ideal candidates bring extensive experience in functional genomics, complex genetic screening, and spatial biology, preferably within a disease-focused research setting. They possess strong experimental design and assay development skills and have demonstrated success deploying novel genomic technologies across diverse cell and tissue systems. Candidates should have sufficient computational literacy to understand experimental data flows and interface effectively with bioinformatics and data science teams. Experience with spatial transcriptomics, genetic library design, massively parallel reporter assays, CRISPR-based perturbation approaches, pooled screening technologies, and cell engineering is highly desirable.
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Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree