Engineering

Business Development

Accounting

Product Management

Information Technology

Research

Human Resources

Finance

Program and Project Management

Founder and CEO

Chief Technology Officer

Lilly, BMS, Incyte strike deals to keep biopharma’s AI integration rolling

Incyte and Genesis Expand Molecular AI Collaboration to Accelerate Drug Discovery

Raises $4.1M in Seed Funding Led by Andreessen Horowitz

Genesis Therapeutics Raises $52M in Series A Funding

Software Engineer - ML Infrastructure

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. We’re seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems. The role involves leading the development of scalable and robust distributed infrastructure for ML training, inference, and evaluation.

ML Research Engineer, Foundation Models

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. They are seeking a highly skilled ML Research Engineer who will serve as the engineering pillar for inventing, scaling, and shipping next-generation foundation models for molecular science, collaborating closely with ML researchers and computational chemists.

ML Research Engineer, Foundation Models (Senior / Staff / Principal)

Product Management Lead

Genesis Molecular AI is pioneering a transformative approach to drug discovery by leveraging state-of-the-art machine learning, computational chemistry, and biology. The Product Management Lead will own the product roadmap, facilitate collaboration across technical domains, and drive execution of critical projects to revolutionize drug discovery.

Staff Technical Recruiter

Genesis Molecular AI is pioneering the use of AI and biophysics to transform drug discovery. They are seeking a Staff Technical Recruiter to own full-cycle hiring for their AI/ML research and engineering organization, focusing on sourcing and engaging top talent.

Genesis Molecular AI is pioneering the use of AI and biophysics to transform drug discovery. They are seeking a Staff Technical Recruiter to own full-cycle hiring for their AI/ML research and engineering organization, focusing on sourcing and engaging top talent in the field.

Infrastructure Engineer

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company is looking for an Infrastructure Engineer to maintain and grow their multi-cloud compute infrastructure that supports machine learning and drug discovery efforts.

Software Engineer - Core Infrastructure

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. They are seeking experienced ML infrastructure engineers to lead engineering efforts focused on driving forward their ML research agenda for generative modeling of molecular systems.

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The role involves maintaining and growing the multi-cloud compute infrastructure that supports machine learning model training and drug discovery efforts.

ML Research Scientist, Foundation Models

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. As an ML Research Scientist, you will lead transformative research projects and collaborate with a multidisciplinary team to create groundbreaking models that contribute to drug discovery.

ML Research Scientist, Foundation Models (Senior / Staff / Principal)

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. As a key member of the Genesis AI team, you will shape and drive research initiatives in generative AI for drug discovery, leading transformative projects and collaborating with multidisciplinary teams.