Generative Molecular Design Lead

Output Biosciences; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and equity

Excellent medical, dental, and vision coverage

Feedback-focused environment

Ownership of day-to-day management

Job summary

Output Biosciences, based in New York, NY, is seeking a lead in generative model development in a pioneering AI x Bio setting. The successful candidate will have a strong background in machine learning, demonstrated through hands-on experience in designing and training generative models, particularly in molecular sciences.

The role demands a PhD or equivalent experience, proficiency in Python and PyTorch, with a commitment to innovative research and practical impact in therapy development. A competitive salary and equity are offered, alongside comprehensive medical benefits.

Qualifications

• 2+ years of post-doctoral or industry research experience.
• Strong publication record in top-tier venues.
• Hands-on experience designing, building, and training deep generative models.
• Proficient in Python and PyTorch.
• Ability to own the full research-to-training pipeline.
• Production-quality code that's well-tested and maintainable.

Responsibilities

• Lead the design and development of generative models.
• Develop training approaches and methods for controllable generation.
• Integrate biological reasoning into the generative pipeline.
• Own training end-to-end with hyperparameter optimization.
• Design evaluation frameworks for biologically meaningful molecules.

Skills

Generative modeling

Deep learning

Python

PyTorch

Experimental design

Education

PhD in computer science, machine learning, physics, mathematics, or a related field

Bachelor's or Master's in related fields with 5+ years of experience

Tools

Multi-GPU infrastructure

Job description

Output Biosciences, based in New York, NY, is seeking a lead in generative model development in a pioneering AI x Bio setting. The successful candidate will have a strong background in machine learning, demonstrated through hands-on experience in designing and training generative models, particularly in molecular sciences.

The role demands a PhD or equivalent experience, proficiency in Python and PyTorch, with a commitment to innovative research and practical impact in therapy development. A competitive salary and equity are offered, alongside comprehensive medical benefits.