Not specified; equity included; comprehensive bene...
On-site
Ph.d. in computational chemistry or related field
2+ years ml in small molecule drug discovery
Python proficiency with pytorch or tensorflow
Superluminal Medicines is revolutionizing small molecule medicine creation using a platform combining deep biology, computational chemistry, and machine learning
Job Summary
Superluminal Medicines is revolutionizing small molecule medicine creation using a platform combining deep biology, computational chemistry, and machine learning.
The role involves leading the application of Large Language Models and generative chemistry to design novel chemical matter and drive program milestones.
Employees receive comprehensive benefits including fully covered medical premiums, a 401(k) match, equity, and unlimited paid time off.
Matching Summary
Superluminal Medicines is revolutionizing small molecule medicine creation using a platform combining deep biology, computational chemistry, and machine learning.
Salary
Not specified; Equity included; Comprehensive benefits package covering medical, dental, vision, and 401(k) match
Skills & Requirements
Must-have
Ph.D. in Computational Chemistry or related field
2+ years ML in small molecule drug discovery
Python proficiency with PyTorch or TensorFlow
Experience with cross-functional scientific teams
Production-quality ML code and data workflows
Nice-to-have
Experience mentoring and developing teams
Knowledge of protein-ligand co-folding models
Expertise fine-tuning models with internal data
Strong interpersonal communication skills
Key Requirements
Ph.D. required in Computational Chemistry, CS, or ML
Minimum 2 years experience in biotech/pharma ML
Strong practical proficiency in Python and deep learning libraries