Job Description
Note: The job is a remote job and is open to candidates in USA. BayOne Solutions is seeking a ML / Bioinformatics Data Scientist to develop a machine learning model aimed at predicting patients' risk for drug-induced liver toxicity. The role involves harmonizing diverse data sources, deriving new features, and building predictive models while collaborating with interdisciplinary teams. Responsibilities • Data centralization and harmonization • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity. • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders. Skills • Proven track record of working with statistical modeling techniques, including ML methods • Expertise in Python/R for data manipulation, statistical analysis, and ML model building • Proven ability to work with diverse data types (omics, clinical, imaging) • Knowledge of statistics and experience with survival analysis • Excellent communication, collaboration, and problem-solving skills • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease • Experience with NLP/LLMs for feature extraction from unstructured text • Strong background in neuroscience Education Requirements • PhD degree in quantitative field (e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) Company Overview • BayOne Solutions provides computer programming services. It was founded in 2012, and is headquartered in Pleasanton, California, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship • BayOne Solutions has a track record of offering H1B sponsorships, with 6 in 2025, 25 in 2024, 20 in 2023, 30 in 2022, 20 in 2021, 37 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job