Develop and deploy computer-vision and ML pipelines for microscopy datasets, partner with biologists and engineers, benchmark and calibrate tools, extract disease-relevant phenotypes, and communicate results to cross-functional stakeholders.

The Applied Machine Learning Scientist will develop insitro's ChemML platform and integrate AI for drug discovery, collaborating cross-functionally.

The (Associate) Director, People Partner will advise executives, coach leaders, and develop talent strategies to enhance employee experience and performance in a high-growth biotech environment.

As a Scientist II in Protein Sciences, you will characterize biologic molecules and their interactions, design constructs, and assist in antibody discovery.

Analyze omics datasets, design high-throughput experiments, integrate multimodal data, and collaborate with biologists to understand disease mechanisms and identify therapeutic targets.

The Senior Director of Project & Portfolio Management will lead cross-functional teams, develop integrated project plans, and establish AI-forward project management methodologies to advance drug candidates in a hybrid work environment.

Lead insitro's external R&D strategy, manage CRO relationships, execute projects, and oversee partnerships to align with corporate research goals.

The role involves analyzing microscopy data, collaborating with biologists to design experiments, and utilizing machine learning and bioinformatics to uncover disease mechanisms and therapeutic targets.

The Machine Learning Scientist will use insitro's TherML platform to develop oligonucleotide designs and collaborate across teams for drug discovery.

Partner with a mentor to develop and apply ML methods on large multi-modal biological datasets (omics, imaging, genetics). Prototype, productionize, and deploy models, analyze results, and collaborate with cross-functional scientists over an 11–12 week summer internship.