Foresite Labs is a company focused on incubating transformational healthcare companies that aim to address significant unmet medical needs. By leveraging data science, Foresite Labs accelerates scientific discovery and the creation of innovative products and services for patient benefit. The company breaks down barriers for entrepreneurs in the healthcare sector, supporting the creation of new data ecosystems and standardizing data generation and analysis processes. Through its experienced team and robust platform, Foresite Labs partners with visionaries to foster innovation in life sciences and healthcare.
January 24
π California β Remote
π Massachusetts β Remote
π΅ $250k - $400k / year
β° Full Time
π Senior
π§ AI Research Scientist
π¦ H1B Visa Sponsor
Foresite Labs is a company focused on incubating transformational healthcare companies that aim to address significant unmet medical needs. By leveraging data science, Foresite Labs accelerates scientific discovery and the creation of innovative products and services for patient benefit. The company breaks down barriers for entrepreneurs in the healthcare sector, supporting the creation of new data ecosystems and standardizing data generation and analysis processes. Through its experienced team and robust platform, Foresite Labs partners with visionaries to foster innovation in life sciences and healthcare.
β’ Foresite Labs is a translational R&D team using human genetics for therapeutic hypotheses β’ Seeking Staff/Senior Staff AI Scientist with machine learning expertise for scientific data analysis β’ Lead development of machine learning architectures, mentor junior scientists, collaborate with cross-functional teams
β’ Ph.D. in Computer Science, Statistics, Computational Biology, or a related field with a focus on machine learning applications β’ Strong theoretical foundation in classical machine learning methods including dimensionality reduction, clustering, and probabilistic modeling β’ Deep understanding of statistical concepts including experimental design, hypothesis testing, and Bayesian inference β’ Minimum 5 years of post-PhD experience developing machine learning models, including at least 3 years of experience in industry β’ Strong publication record demonstrating expertise in deep learning applications for scientific data in biology, healthcare, or the physical sciences (e.g., with genomic, transcriptomic, EHR, or other high dimensional data types) β’ Extensive experience with modern deep learning frameworks (PyTorch, TensorFlow) and high-performance computing environments β’ Strong programming skills in Python and R, with experience in developing production-ready ML pipelines β’ Industrial software engineering skills and discipline, including rigorous testing practices and distributed tools for model training and fine tuning β’ Excellent communication skills and ability to explain complex technical concepts to diverse audiences β’ Track record of successful collaboration with cross-functional teams in a fast-paced environment β’ Experience managing teams of AI scientists to deliver innovative machine learning models and methods
β’ Competitive salaries β’ Excellent benefits β’ Flexible work environment β’ Opportunity to learn from top thinkers in various disciplines
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