AWS, Dask - Python library, Git, Google Cloud Platform (GCP), Java Programming, Mercurial, NoSQL, NumPy, OpenCV, Pandas, Python Programming, Scikit-learn, SciPy, SQL
Global drug development productivity is declining exponentially, with an overall failure to develop effective treatments for many increasingly prevalent complex diseases affecting millions of patients per year. We seek to solve this by combining cutting-edge machine learning techniques with recent advances in life sciences to drastically improve how drugs are discovered and developed.
This summer we are looking for highly motivated interns looking to work at the intersection of machine learning and life sciences. As a small molecule machine learning intern, you will lead the development of cutting edge machine learning methods that solve key problems in the drug development process. Specifically you will: 1). Implement, extend, train, validate, and test the performance of cutting-edge models applied to both publicly available datasets, and large-scale internal small molecule datasets from our DNA-encoded library screening technology. 2). Collaborate with our scientists in designing the next set of automated wet-lab experiments that will confirm the results of these models. 3). Design model interpretation techniques to help with decoding novel biological/chemical phenomena within our datasets. You will also have the opportunity to present and publish your work.
Insitro has a highly dynamic and collaborative culture in a custom-built open office in South San Francisco. You will work closely with machine learning engineers and scientists, biologists, chemists, microscopy experts, and automation engineers. You will be mentored by one of our senior researchers, who has significant experience in machine learning for small molecule drug discovery. You will also attend our machine learning team meetings and will be exposed to a diverse set of novel technologies and machine learning concepts that tackle various biological and chemical questions.
Join us, and help make a difference to patients!
About You
Nice to Have
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $50 - $55 per hour. 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.
In addition, insitro also provides our interns:
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
6-8 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
4-6 year