Head of Imaging - Data Science and Machine Learning
South San Francisco, CA
As Head of Imaging you will lead the insitro imaging team within the Machine learning org on its mission to analyze insitro’s image-based datasets, develop cutting edge CV approaches to serve our needs, and contribute engineering artifacts to insitro’s ML platform.You will work with colleagues across different domains of ML, biology, clinical machine learning, and statistical genetics. You will lead the team to develop and utilize techniques and infrastructure for relevant problems in the drug discovery setting inspired by insitro’s needs under various real world conditions, for the two key areas of emphasis for imaging: in vitro imaging of cellular data generated in-house, and clinical patient images such as pathology gathered from various collaborations such as the UK Biobank, TCGA, Genomics England, and more.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.In your role, you will coordinate with leadership across ML, engineering, various therapeutic projects, and will have company wide impact.
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 vision, computer science, or a related discipline, or equivalent practical experience (e.g., a Masters degree plus 5 years in relevant industry experience);- 5+ years Experience working in industry and managing projects and deliverables;- Experience and demonstrated ability to lead teams of engineers and scientists;- Demonstrated ability to architect and build reusable code infrastructure and work with engineering teams;- Demonstrated ability to use and develop cutting edge computer vision methods inspired by real problems;- Demonstrated ability to work with and analyze medical imaging data (i.e., histopathology), cell imaging data, or ideally both;- Experience in 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 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 CVPR, ECCV, ICCV, MICCAI, ICLR, NeurIPS, ICML and related conferences/journals in the sciences;- Familiarity with cloud computing services (e.g., AWS or GCP);- Proficiency in scientific engineering and modern engineering practices;
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.
Tags: AWS Biology Computer Science Computer Vision Deep Learning Drug discovery Engineering GCP ICLR ICML Machine Learning ML models NeurIPS Python PyTorch R R&D Statistics
Perks/benefits: Career development Competitive pay Conferences Flex hours Flex vacation Health care Medical leave Parental leave Startup environment
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