(Senior) Clinical ML Research Scientist

The OpportunityKey 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.
As a clinical machine learning researcher, you will develop cutting edge ML approaches to analyze and integrate large-scale multi-modal phenotypic datasets, including physiological monitoring, longitudinal clinical data, electronic health records, diverse biomarker data, and medical imaging 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 understanding patient state and predicting outcomes and clinical endpoints for patient data. You will also work closely with a cross-functional team of life scientists, statistical geneticists, bioengineers, medical scientists, machine learning scientists, and software engineers to integrate human-level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.
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- Ph.D. in machine learning, computer science, clinical machine learning or a related discipline, or equivalent practical experience (e.g., a Masters degree plus 2 years in relevant industry experience);- Demonstrated ability to use and develop cutting edge statistical and machine learning methods for analyzing clinical data;- Extensive hands on experience working with at least one of the following areas: electronic health records; clinical trial data; clinical data analysis; disease progression modeling; biomedical or biophysical imaging modalities- Demonstrated ability to rigorously deal with confounders and complexities in human clinical data;- Experience using modern deep learning frameworks (PyTorch, Jax, Keras, etc);- Proficiency in Python and working with large-scale clinical data;- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions;- Passion for making a difference in the world.

Nice to Have- Experience in probabilistic modeling and/or causal inference;- Experience working on decision making under uncertainty;- Experience working with EHR linked with genomic/molecular data;- Experience with genetic analyses (e.g., GWAS, rare variant analysis, etc.) and / or genomic data from different modalities (DNA sequencing, RNA-seq, proteomics, DNA accessibility assays, etc.);- Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. SLURM);- Proficiency in Linux environment (including shell/Bash scripting), experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g., Git)

Benefits at insitro- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees- Excellent mental health and well-being support- Open vacation policy- Access to free onsite baristas and cafe with daily lunch and breakfast- Access to free onsite fitness center- Commuter benefits- Paid parental leave- Competitive pay and 401(k) matching- Flexible work schedule (on site and remote)About insitroinsitro 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 to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 2018, insitro has raised over $700 million from top tech, biotech, and crossover investors and from collaborations with pharmaceutical partners. For more information on insitro, please visit the company’s website at www.insitro.com.