Senior ML Scientist (Computational biology)
Elucidata · Bengaluru, Karnataka, India
Tailor my CV for this job — freeHeadquartered in San Francisco with a 120+ member team across the US and India, we’re building the future of data-centric AI for drug discovery.Our flagship AI-Agentic powered platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data, accelerating discoveries and making precision medicine a reality.Recognized by Fast Company as the “Most Innovative Biotech Company of 2024,” Elucidata partners with 25+ leading organizations, including Pfizer, Novo Nordisk, Google DeepMind, Alnylam Therapeutics, and the Bill & Melinda Gates Research Institute. Backed by top VCs like Eight Roads, F-Prime, IvyCap, and Hyperplane.With over 200 data products and AI solutions co-developed by 100+ domain experts, we’ve helped our partners achieve 4X faster R&D milestones and contribute to 16 therapies advancing toward FDA approval. At Elucidata, you’ll work at the intersection of AI, biology and impact while solving real-world challenges that accelerate the journey from data to discovery.About the RoleWe are looking for a Senior ML Scientist to drive research and development at the intersection of AI and biology, with a focus on solving complex problems in biomedical research and drug discovery.In this role, you will own the development, training, and evaluation of advanced ML models, including LLMs, deep learning models, and biological foundation models, working with diverse data sources such as scientific literature, clinical data, and multi-omics datasets.You will collaborate closely with computational biologists, ML engineers, and product teams to translate scientific challenges into innovative, practical AI solutions, while driving rigorous experimentation, scientific validation, and research outcomes.What You’ll OwnLead research and development initiatives at the intersection of AI and biology, translating complex scientific problems into well-defined ML problems and actionable solutions.Develop, fine-tune, and evaluate ML models, including LLMs, transformer-based models, and biological foundation models, for applications in drug discovery and biomedical research.Build AI-driven solutions for extracting and synthesizing biological knowledge from scientific literature, clinical data, and other biomedical sources.Explore and develop novel approaches for analyzing complex biological datasets, including single-cell, spatial transcriptomics, and multi-omics data.Design rigorous experiments, establish evaluation benchmarks, and ensure scientific validity, reproducibility, and robustness of model outputs.Own research projects end-to-end, from literature reviews and hypothesis formulation to experimentation, validation, and communicating findings through technical reports, publications, or product capabilities.What Makes You a Great FitPhD from a tier-1 institution in Computational Biology, Bioinformatics, Computer Science, or a related discipline; alternatively, a Master’s degree with 3–4 years of relevant industry experience applying AI/ML to biological problems.Strong understanding of molecular biology, genetics, genomics, or related areas, with the ability to interpret biological data and reason about underlying biological mechanisms.Hands-on experience developing and training ML/deep learning models, preferably applied to biomedical NLP, genomics, multi-omics, or drug discovery.Excellent Python programming skills, with practical experience in PyTorch, Hugging Face Transformers, and modern data science and ML libraries.Strong scientific research skills, including reading and critically evaluating research papers, designing experiments, benchmarking methods, and drawing evidence-based conclusions.Demonstrated ability to work independently, tackle ambiguous research problems, challenge assumptions, and translate research findings into practical, high-impact solutions.Why Join Elucidata?Opportunity to shape the future of biomedical data ecosystems by building partnerships at the frontier of science and healthcare.Direct visibility with the CEO and leadership team.High-impact role — the partnerships you establish will directly translate into Elucidata’s growth and customer success.Work with global leaders and contribute to data-driven drug discovery.