Summer AI-Driven Computational Chemistry Intern

Genesis Therapeutics; San Mateo (CA); On-site; USD 34,000 - 55,000; Full time

Job summary

Genesis Molecular AI invites a summer Computational Chemistry Intern to join our San Mateo team. You will work under a mentor on a project addressing a key challenge in drug discovery, developing and applying computational chemistry and physics methods with AI in the loop.

Projects span quantum chemistry, free energy, enhanced sampling, and ML-assisted molecular modeling. You will collaborate with our ML and CADD scientists to benchmark methods on real data and share results in an end-of-summer

Qualifications

• PhD student or advanced MS/undergraduate with substantial research experience in computational chemistry.
• Experience applying quantum chemistry, free energy methods, or machine learning for molecular systems.

Responsibilities

• Collaborate with mentor on a focused research project aligned with drug discovery.
• Develop and refine computational chemistry and physics methods, including QM/MM and free energy approaches.
• Collaborate with ML team on molecular modeling and property prediction.
• Work with scientists to benchmark methods on real program data and test predictions.

Skills

Python programming

Computational chemistry

Education

PhD student or MS/advanced undergrad with substantial research experience

Tools

Python

Job description

Genesis Molecular AI invites a summer Computational Chemistry Intern to join our San Mateo team. You will work under a mentor on a project addressing a key challenge in drug discovery, developing and applying computational chemistry and physics methods with AI in the loop.

Projects span quantum chemistry, free energy, enhanced sampling, and ML-assisted molecular modeling. You will collaborate with our ML and CADD scientists to benchmark methods on real data and share results in an end-of-summer