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Lead ML Applied Scientist

Location: San Francisco
Posted on: March 19, 2023

Job Description:

The 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. You will develop techniques and infrastructure to improve, facilitate, and enable analysis, understanding, and generalization for ML models applied in the drug discovery setting under various real world conditions, such as distribution shift, data missingness, and small sample sizes, among 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 - Ph.D. in machine learning, computer science, or a related discipline, or equivalent practical experience (e.g., a Masters degree plus 2 years in relevant industry experience); - Demonstrated ability to use and develop cutting edge statistical and machine learning methods inspired by real problems; - Experience on modern representation learning topics such as self-supervised learning, transfer learning, multi-modal modeling, few-shot learning, robustness and interpretability, uncertainty estimation, and more; - Experience in probabilistic modeling and/or causal inference; - Hands-on experience working with biomedical or other real world datasets; - Experience using modern deep learning frameworks (PyTorch, Jax, etc); - Proficiency in Python; - 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 - Publication record in venues such as NeurIPS, ICML, ICLR, AISTATS, AAAI, and related conferences/journals in the sciences; - Experience with probabilistic programming; - Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. SLURM); - Proficiency in Linux environment (including shell/Bash scripting), or experience with version control practices and tools (e.g., Git) Benefits at insitro - 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 - Paid parental leave - Competitive pay and 401(k) matching - Flexible work schedule (on site and remote) About insitro 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 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 .

Keywords: THIRD ROCK VENTURES, LLC, San Francisco , Lead ML Applied Scientist, Other , San Francisco, California

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