Research Engineer - Data Science and ML

The OpportunityKey to insitro’s approach to rethinking drug development is the application of cutting edge data science and machine learning, at scale, throughout the discovery process. As a Research Engineer, you will help develop, validate, and deploy these methods. You will work closely with our data scientists, software engineers, biologists, and laboratory scientists in cross-functional teams to identify opportunities and implement projects. Our team is focused on the craft of scientific software engineering, ensuring that our tools are scalable, correct, maintainable, and robust. We work on a variety of problem domains and datasets; we use multi-petabyte collections of biological data spanning high content imaging, functional genomics, and biomolecular structures, and you will help tackle the software challenges that arise from analyzing this data. While not required, some knowledge of biological or chemical data is especially valuable in understanding the unique requirements and applications of ML to biology and drug discovery.
You will be joining a biotech startup that has long-term stability due to significant funding, providing many opportunities for meaningful 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!

About You- BS, MS, or Ph.D. in computer science, statistics, mathematics, physics, engineering, or equivalent practical experience- Research experience with advanced data science techniques, such as neural networks, Bayesian inference, probabilistic programming, etc.  - Fluency in one or more general-purpose programming languages (strong preference for significant experience in scientific Python; Java, Scala, C/C++, and Go are also relevant) - Experience with the full lifecycle of designing, implementing, deploying and maintaining robust scientific software- Experience developing software in team-based environments- Strong desire to deliver work that aids in cutting-edge drug discovery!

Nice to Have- Experience with data modalities relevant to drug discovery, including biological data, genetics data, and computer vision.- Past experience working on cross-functional teams- Previous open-source contributions or publications demonstrating impact in relevant projects- Previous industry experience of 3+ years- Experience building, shipping, and benchmarking ML systems- Experience adapting, developing, and adding functionality to differentiable programming tools such as Pytorch, Jax or probabilistic programming tools such as Pyro/Numpyro- Experience working on ML experimentation tooling and platforms

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.