5 jobs found in South San Francisco

The Opportunity insitro's mission is to use AI and machine learning to develop medicines for patients with diseases that have little to no effective treatment. As a field, drug discovery and development has faced a decades-long decline in productivity characterized by high failure rates in the clinic, primarily due to a lack of understanding the underlying biology of disease. This is despite billions spent to build models of biology, whether in the lab or animal models, to predict clinical success. Ultimately, we need better predictive models. With this vision, insitro has built a target and biology discovery engine, which combines high throughput, multimodal cellular phenotyping and perturbation data generation with novel machine learning and AI methods. As Head of CellML, you will lead the team of ML scientists and engineers that will develop methods capable of generating biology insights from multiple data modalities collected at scale, spanning live and fixed microscopy...

The Opportunity insitro is an ML-driven biotech company tackling the grand challenge of drug discovery. We are transforming the pace and success of drug discovery by uniting biology, highly automated laboratory science, and machine learning. Our teams are responsible for generating rich, large-scale datasets—from high-content cellular microscopy and functional assays to single-cell genomics—and translating them into actionable, machine-learned insights for target identification and drug development. We are a collaborative group of platform engineers and scientists committed to building reliable, state-of-the-art systems to enable discovery at unprecedented scale. We are seeking an experienced Senior Software Engineer to join our Imaging Software Team. This role is a unique opportunity to define and expand our Computer Vision and ML infrastructure across the full imaging data lineage, from on-microscope acquisition to high-throughput ML pipelines. You will be...

The Opportunity Machine learning lies at the core of insitro's approach to rethinking drug development. We've built a ChemML Platform that uses AI to accelerate small molecule discovery from hit-finding through lead optimization. Our innovative approach enables us to rapidly design drugs against internally discovered novel AI targets, with models powered by some of the industry's largest and most comprehensive datasets: Billions of proprietary binding affinity measurements Hundreds of thousands of ADMET and In Vivo PK measurements Experimental data generated through our AI-driven DMTL optimization cycles We're looking for an Applied Machine Learning Scientist who will be hands-on using our ChemML platform to drive design on multiple therapeutic programs while directly contributing to the development of our ChemML platform and ML models. This role offers an opportunity to translate cutting-edge ML into real-world impact on drug discovery. This role will...

The Opportunity insitro integrates diverse data modalities—from in vitro cellular models to large-scale human clinical datasets—to identify disease mechanisms and therapeutic targets. Our clinical data software team uses, builds, and deploys software to develop novel phenotypes from high dimensional clinical data, and perform genome-wide association studies (GWAS) and downstream statistical genetics analyses. In this role, you will develop data pipelines, statistical computing infrastructure, and tools that enable our scientists to analyze complex clinical and genomic datasets at scale. You'll work at the intersection of data engineering, platform development, and scientific computing, collaborating closely with computational biologists, statistical geneticists, and machine learning researchers to accelerate our drug discovery efforts. This role will report to the Senior Manager, Clinical Data and can be either hybrid coming onsite to our South San Francisco...

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