AWS, Cloud computing, Google Cloud Platform (GCP), JAX framework, Python Programming, PyTorch, SQL
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.
Machine Learning for science plays a key role across the value chain in Insitro’s approach towards data driven drug discovery.
As an applied machine learning researcher, you will develop cutting edge ML approaches to analyze and integrate large-scale biological, human, or chemical datasets.
You will work with colleagues across different domains of ML and contribute models, methods, algorithms, analysis techniques, and code towards improving the Insitro platform in concrete, measurable ways and to push the field forwards with IP and publications.
You will develop techniques and infrastructure for relevant problems in the drug discovery setting inspired by Insitro’s needs under various real world conditions, such as distribution shift, data missingness, small sample sizes, decision making, and many other problems.
You will also work closely with a cross-functional team of life scientists, statistical geneticists, bioengineers, computer vision scientists, genomics scientists, medical scientists, and software engineers to integrate human-level data with our high-throughput in-house in vitro genomic and phenotypic data, with the goal of identifying therapeutic targets and developing 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, and 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
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Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $160,000 - $215,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
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