AWS, C++, Deep Learning, Google Cloud Platform (GCP), Java Programming, JAX framework, Keras software library, Natural Language Processing (NLP), OpenCV, Python Programming, PyTorch, R Programming, SQL, XGBoost
Key to insitro’s approach to rethinking drug development is leveraging disease models, genetics, and clinical datasets to link in vitro and cellular phenotypes with patient outcomes.
Multimodal clinical datasets are an essential component of modeling patient heterogeneity, disease progression, and phenotypic diversity. Our goal is to develop sophisticated models from patient clinical records, common lab biomarkers, and, when available, high-content multi-omic and imaging data to identify coherent patient segments to reveal novel genetic signals and opportunities for targeted therapies.
As a clinical machine learning scientist, you will develop, productionize, and deploy cutting-edge ML approaches to analyze and integrate large-scale multi-modal phenotypic datasets, including electronic health records, physiological monitoring, longitudinal clinical data, biomarkers, and multi-omic modalities. You will work with clinical data from large human cohorts such as randomized clinical trials, electronic health records, national biobanks, and other sources. You will contribute to developing models to understand patient state and predict outcomes and clinical endpoints. You will collaborate with a cross-functional team of machine learning scientists, statistical geneticists, life scientists, and clinicians to identify therapeutic targets and develop drugs that have high efficacy and low toxicity. You will work in collaboration with the software engineering team to ensure these pipelines are robust, reusable platform components that can be deployed on large-scale datasets in a portable way.
You will be joining a vibrant biotech startup that has long-term stability due to significant funding, yet is in a high growth phase. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients! This role is preferably based in San Francisco Bay Area or Boston, but we are open to discussing other locations in the United States and the UK.
About You
Nice to Have
Benefits at insitro
insitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D.
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
6-8 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
6-8 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
4-6 year