Are you ready to own the strategy behind how Gordian turns large-scale in vivo perturbation screens into a prioritized, translatable pipeline of therapeutic targets across chronic and age-related disease, and to help build sophisticated analytical frameworks... Backed by Stanford.
About the role
Gordian has generated in vivo perturbation data spanning over 1000 targets across Obesity, Heart Failure, Pulmonary Fibrosis, Osteoarthritis, MASH, and Chronic Kidney Disease (CKD), while partnering with external collaborators to build the most comprehensive knowledge graph of disease-relevant, translatable therapeutics in this space. As a Principal Computational Biologist, you go beyond executing individual screen analyses: you pioneer how Gordian strategizes around perturbation data.
What they're looking for
- Experience with pooled perturbation and CRISPR screening data specifically
- Experience with spatial transcriptomics data (10X Xenium, Visium, etc)
- Experience with preclinical models for validation with functional readouts (e.g., human explants, organoids, etc.)
More about this role
Gordian has generated in vivo perturbation data spanning over 1000 targets across Obesity, Heart Failure, Pulmonary Fibrosis, Osteoarthritis, MASH, and Chronic Kidney Disease (CKD), while partnering with external collaborators to build the most comprehensive knowledge graph of disease-relevant, translatable therapeutics in this space. As a Principal Computational Biologist, you go beyond executing individual screen analyses: you pioneer how Gordian strategizes around perturbation data. You help define the methods that get standardized across the computational team, and keep up with the blistering pace of AI in the space, integrating the best tools into our current and future workflows. You partner directly and autonomously with disease-area experts on forward screen planning, with minimal oversight, and you're expected to spot opportunities the rest of the team hasn't yet seen.
Target prioritization and validation are core to this role. You take screen results beyond hit-calling, building the analytical case for which targets are most likely to be both mechanistically valid and therapeutically actionable, and partnering with disease experts to design the follow-on validation that...
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