Superluminal Medicines, Inc.
generative biology and chemistry
Scientist,MachineLearning(PrincipalScientistAssociateDirector)
“Scientist, Machine Learning (Principal Scientist - Associate Director) at Superluminal Medicines, Inc.. Skills: Machine Learning, drug discovery, Python, deep learning. Lead the application of LLMs. design novel chemical matter”
What You'll Achieve.
candidate-ready compounds; program decision points; candidate nomination; hitting key program milestones; establishing selectivity windows; optimizing drug-like properties
Industry & Context.
quantitative predictions
What They're Looking For.
Must Have
Ph. D. in Computational Chemistry, Computer Science, Machine Learning, or a related field, 2+ years applying ML methods in a small molecule drug discovery programs in biotech or pharma environments, Demonstrated expertise in statistics, probability theory, data modeling, machine learning algorithms, Demonstrated success in a cross-functional environment, practical proficiency in Python, practical proficiency in deep learning libraries
Nice to Have
Proven experience with protein-ligand co-folding models, ability to integrate these structural insights into broader ML discovery pipelines, knowledge of deep learning frameworks, specifically for affinity prediction, ADMET modeling, application of LLMs in a biological or chemical context, Experience mentoring and developing teams
What You'll Do.
Lead the application of LLMs
design novel chemical matter
Serve as the machine learning POC
partnering with medicinal chemists
Synthesize complex ML outputs
build models that move programs efficiently
How You'll Work.
Team & Collaboration
partnering with medicinal chemists; partnering with computational chemists; partnering with biologists; partnering with structural biologists
Communication Scope
Synthesize complex ML outputs into clear, actionable design hypotheses
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