Machine Learning Scientist

About the Company

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure.

Responsibilities

• Lead the application of Large Language Models (LLMs), co-folding algorithms, and generative chemistry techniques to design novel chemical matter
• Serve as the machine learning POC on cross functional projects partnering with medicinal chemists and structural biologists
• Synthesize complex ML outputs into clear, actionable design hypotheses for scientific stakeholders
• Manage and develop internal team members

Requirements

• Ph.D. in Computational Chemistry, Computer Science, Machine Learning, or a related field
• 2+ years applying ML methods in small molecule drug discovery programs in biotech or pharma
• Expertise in statistics, probability theory, data modeling, and machine learning algorithms
• Proficiency in Python and deep learning libraries such as PyTorch or TensorFlow
• Experience building and maintaining production-quality ML code and data workflows

Preferred Qualifications

• Experience with protein-ligand co-folding models (e.g., Boltz, OpenFold, AlphaFold)
• Expertise fine-tuning models with internal structural biology and biology data
• Knowledge of deep learning frameworks for affinity prediction and ADMET modeling
• Experience mentoring and developing teams

Benefits

• Full coverage of annual deductibles and monthly premiums for medical, dental, and vision insurance
• 401(k) match program
• Massachusetts transportation subsidy
• Equity
• Unlimited paid time off
• Disability and life insurance