Computational Chemistry Intern: AI-Driven Drug Discovery

Genesis Molecular AI; San Mateo (CA); On-site; USD 28,000 - 50,000; Part time

Job summary

Genesis Molecular AI is seeking a Computational Chemistry Intern for Summer 2027 to join our world-class computational team. Work under a dedicated mentor on a focused research project aligned with our drug discovery goals.

You will develop and refine computational chemistry and physics methods, explore quantum chemistry, free energy methods, and ML-assisted modeling, and collaborate with our ML team to benchmark against real program data. Presentation of your work at summer's end is expected.

Qualifications

• PhD student or advanced MS/Undergrad with substantial research in computational chemistry or physics.
• Experience applying computational chemistry or physics methods to research problems.

Responsibilities

• Work with a mentor on a focused research project aligned with drug discovery programs.
• Develop and refine computational chemistry and physics methods (quantum chemistry, free energy, enhanced sampling).
• Collaborate with ML team on molecular modeling and property prediction.
• Benchmark methods on real program data and present results at the end of the internship.

Skills

Python programming

ML/AI basics

Code quick prototyping

Rigorous testing

Education

PhD student

MS degree or advanced undergrad with substantial research

Tools

Python

Job description

Genesis Molecular AI is seeking a Computational Chemistry Intern for Summer 2027 to join our world-class computational team. Work under a dedicated mentor on a focused research project aligned with our drug discovery goals.

You will develop and refine computational chemistry and physics methods, explore quantum chemistry, free energy methods, and ML-assisted modeling, and collaborate with our ML team to benchmark against real program data. Presentation of your work at summer's end is expected.