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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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streamline and accelerate the development of the projects. Share research through scientific publications, national and international conferences, and internal presentations. Who You Are: PhD graduate in
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the molecular pathways of disease and to establish the mechanism of action of our therapeutics. The successful candidate will work with our team to analyze multi-level biomarker data generated from pre-clinical
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applicant will have an opportunity to work closely with a diverse scientific team that includes microbiologists, immunologists, cell biologists and bioinformaticians. Who You Are: Recent PhD in the field
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groups to study cancer biology using deep clinicogenomics data and cutting edge NGS diagnostics. The Opportunity: Opportunity to drive scientific, analytic, and technical innovation in a community of
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presented at external conferences. Who you are: PhD in structural biology, biochemistry, or a related field with one or more first-author publications in leading peer-reviewed journals. A strong background in
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) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within
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screens through analysis of imaging (e.g CellPainting) and spatial-omics data Leverage data to build predictive models of cellular response which can be validated experimentally Who You Are: Ph.D. in
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: Experience with scRNA-seq and flow cytometry for immune cell profiling. Genome Engineering: Background in using CRISPR for creating disease-relevant cell models. - Data Analysis: Familiarity with
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perturbation technology, AI/ML model development, or advanced molecular biology Experience in single-cell omics, spatial transcriptomics, and/or high-content imaging data analysis Demonstrated record