Arc Institute · 4 hours ago
Senior Machine Learning Research Scientist
Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. They are seeking a Senior Machine Learning Research Scientist to develop large-scale machine learning models that predict cell state responses, collaborating with a multidisciplinary team of scientists.
BiotechnologyNon ProfitTraining
Responsibilities
Build state-of-the-art AI models for understanding how cells respond to perturbation, in collaboration with other ML researchers, engineers and experimental scientists at Arc
Guide interdisciplinary teams towards successful delivery of reliable and robust machine learning models with clear scientific impact
Stay up-to-date with the latest advancements in machine learning for computational biology, scope out new areas of work and ensure the models built at Arc remain state-of-the-art
Develop strategies for both training of models as well as the large-scale generation of new experimental data to train those models, as part of Arc’s Virtual Cell Initiative
Publish findings through journal publications, white papers, and presentations
Commit to a collaborative and inclusive team environment, sharing expertise, mentoring others and fostering collaborations
Qualification
Required
PhD in Computer Science, Computational Biology, Bioinformatics, Machine Learning, or a related field
Minimum of 3 years of experience post-PhD in building machine learning models for large datasets
Strong research background with contributions to machine learning conferences (e.g., NeurIPS, ICLR, ICML) or interdisciplinary scientific journals (e.g., Nature, Nature Methods, Science)
Well-versed in machine learning frameworks such as PyTorch
Excellent communication skills, both written and verbal, with a strong track record of publications
Proven track record of communicating and collaborating with domain experts and ML engineers
Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment
Preferred
Experience with training and scaling large-scale machine learning models
Strong foundation in software engineering with a proven ability to deliver machine learning products from research to production
Experience working with biological datasets including single-cell genomics, genomic sequences, bioimaging
Demonstrated key contributions to the field of predictive modeling of cell states
Benefits
Annual discretionary bonus
Company
Arc Institute
Arc Institute is a biomedical science and research technology company.
H1B Sponsorship
Arc Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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2025 (24)
2024 (13)
2023 (3)
Funding
Current Stage
Growth StageRecent News
Medical Xpress - latest medical and health news stories
2025-10-21
Genetic Engineering News
2025-09-27
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