Data Science & Machine Learning Intern: Clinical Machine Learning
South San Francisco, CA
This summer we are looking for highly motivated interns looking to work at the intersection of machine learning and life sciences. As a clinical machine learning intern, you will develop, productionize, and deploy cutting-edge ML approaches to analyze and integrate large-scale multi-modal phenotypic datasets, including electronic health records, physiological monitoring, longitudinal clinical data, biomarkers, multi-omic modalities, and imaging (e.g. histopathology, MRI, CT, etc.). 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 to understand patient state and predict outcomes and clinical endpoints. You will collaborate with a cross-functional team of machine learning scientists, statistical geneticists, life scientists, and clinicians 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 clinical data in metabolism, neurodegeneration, 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- Working towards a BS, MS, or Ph.D. in an engineering, computer science, mathematics, statistics, life science, chemistry, physics, or a related discipline.- Proficiency in one or more general-purpose programming languages. We primarily use Python.- Demonstrated ability to use and develop cutting edge statistical and machine learning methods inspired by real problems.- Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)- Experience with clinical data or applying data from other modalities (e.g. imaging, omics, sensor, text) to clinical questions.- 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 with medical imaging data (e.g. histopathology, radiology) or NLP on medical text- Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such as Git or Mercurial.- Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.).- Familiarity with cloud computing services (AWS or GCP).
Intern Benefits- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees- Excellent mental health and well-being support- Access to free onsite baristas and cafe with daily lunch and breakfast- Access to free onsite fitness center- Commuter benefits- Competitive pay- 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.
Tags: APIs AWS Chemistry Computer Science Drug discovery Engineering GCP Git Linux Machine Learning Mathematics ML models NLP NumPy Pandas Physics Python R R&D SciPy SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours Health care
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