AWS, Dask - Python library, EBI GWAS Catalog, ExAC, Git, gnomAD, Google Cloud Platform (GCP), Java Programming, Large scale data processing, Mercurial, NoSQL, NumPy, OpenCV, Pandas, PheWAS, Python Programming, Scikit-learn, SciPy, SQL, UK Biobank
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 statistical genetics intern, you will conduct genetic association studies and other statistical genetics techniques that involve integration of genetic, genomic and clinical data to guide in vitro disease model development. You will also work closely with a cross-functional team of machine learning scientists, software engineers, life scientists, bioengineers, and medical scientists 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.
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 genetics or statistical genetics in metabolism, neuroscience, or oncology. 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 questions.
Join us, and help make a difference to patients!
About You
Nice to Have
Intern Benefits
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