Senior Associate Scientist, Data Sciences

Leverage in-house and public spatial multiomics and single-cell RNA-Seq data lakes to answer essential scientific questions regarding delivery, toxicology, and target discovery Collaborate with interdisciplinary teams of data scientists, biologists, and pathologists across Research and Early Development to plan, analyze, and report results from spatial multiomics experiments to key stakeholders Research and implement ML/AI methods in the spatial multiomics field, such as multi-modal data integration, to enrich insights from data Execute and develop analysis pipelines for spatial multiomics and imaging data from complex tissues, performing tissue and cell segmentation, cell type annotation, and exploration of spatial gene expression changes in response to treatment or disease Master and build upon existing analysis workflows and maintain them in version-controlled systems Actively contribute to our data science culture M.S. or equivalent in a quantitative discipline (bioinformatics, computational biology, data science, or related field) or B.S. with 2+ years of relevant professional experience Proficiency in modern data science languages (Python/R) is essential Experience analyzing large transcriptomic or imaging datasets in cloud computing environments an advantage Knowledge of complex tissue anatomy and image registration techniques an advantage Interest in the translation of biological questions to quantitative hypotheses that can be tested using data science techniques Strong communication skills to effectively collaborate with multidisciplinary teams