Superluminal Medicines Inc. · 14 hours ago
Scientist, Machine Learning (Principal Scientist - Associate Director)
Boston, MA
Full-time
Onsite
Lead/Staff
4+ years expSuperluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. They are seeking a high-impact Machine Learning Scientist to lead the development, validation, and deployment of ML models for drug discovery, while collaborating with various scientific stakeholders. This role may also involve management and development of team members.
BiotechnologyMedicalPharmaceutical
Responsibilities
Lead the application of Large Language Models (LLMs), co-folding algorithms, and generative chemistry techniques to design novel chemical matter aimed at hitting key program milestones, such as establishing selectivity windows and optimizing drug-like properties
ML lead on project teams, collaborating intimately with medicinal chemists to refine SAR and with structural biologists to integrate co-folding and structure-based insights into ML workflows
Data-Driven Decision Making: Synthesize complex ML outputs into clear, actionable design hypotheses that cross-functional scientific stakeholders can use to make high-stakes program decisions
May be responsible for management and development of internal team members
Qualification
Required
Ph.D. in Computational Chemistry, Computer Science, Machine Learning, or a related field
Demonstrated expertise in statistics, probability theory, data modeling, machine learning algorithms, and the languages used to implement analytics solutions
4-7+ years of experience in a biotech or pharma setting performing ML support for small molecule drug discovery with clear evidence of impact on drug discovery programs
Demonstrated success in a cross-functional environment, including biologists, structural biologists, medicinal and computational chemists, with specific examples of computational designs/algorithms/models that directly led to the achievement of program milestones
Expert proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow) is required. You must be able to build and maintain production-quality code and data pipelines
Preferred
Proven experience with protein-ligand co-folding models (e.g., Boltz, OpenFold, AlphaFold, etc) and the ability to integrate these structural insights into broader ML discovery pipelines
Expertise fine-tuning existing models with internally generated structural biology and biology data
Expert-level knowledge of deep learning frameworks, specifically for affinity prediction, ADMET modeling, and the application of LLMs in a biological or chemical context
Company
Superluminal Medicines Inc.
Superluminal Medicines is a Boston-based generative biology and chemistry company developing a differentiated pipeline and revolutionizing the speed and accuracy of how medicine is created.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$153MKey Investors
Eli LillyRA Capital Management
2025-08-14Corporate Round
2024-09-09Series A· $120M
2023-08-28Seed· $33M
Leadership Team
Ajay Yekkirala, PhD
Co-Founder and SVP, Head of Discovery
Recent News
2025-12-24
Labiotech UG
2025-11-23
2025-10-30
Company data provided by crunchbase