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Join an innovative biotech startup as an Automation Scientist to integrate scientific workflows, consult R&D teams, and collaborate on automation system design. Contribute to building platforms for cell production and data generation with a focus on standardization and reproducibility.

As a Computational Microscopy Engineer IV at insitro, you will prototype, develop, and scale microscopy methods and image analysis pipelines to sense cellular state in drug development. Collaborate with therapeutic discovery teams and develop software pipelines for image processing in Python. Educational background in Biomedical Engineering, Computer Science, Physics, or related field is required.

Join insitro as a Data Scientist IV/V in Computational Chemistry to support drug discovery projects, deploy ML and physics-based modeling tools, collaborate with cross-functional teams, and shape the platform and team culture with innovative ideas.

Lead the neuroscience therapeutic area focusing on neurodegenerative disease, design experimental strategies and machine learning models, lead drug discovery projects, and build partnerships with data scientists and biologists.

Lead the integration of human genetics data with phenotypic and omic data for target discovery in therapeutic areas. Collaborate with multidisciplinary teams and contribute to insitro's long-term therapeutic strategy. Apply cutting-edge machine learning and statistical genetics techniques to advance therapeutic programs.

Lead business and corporate development functions for a biotech company specializing in drug discovery and development. Source, evaluate, prioritize, and manage partnerships to advance therapeutic programs.

As a Senior Automation Engineer at insitro, you will collaborate with scientists, software engineers, and microscopy engineers to build and develop high-quality automated systems and protocols. You will be responsible for designing, developing, and qualifying new workcells and liquid handling protocols to enable new platform capabilities. Additionally, you will work on troubleshooting automation or software errors, defining scientific workflows, and collaborating with various teams to drive innovation in automation solutions.