Hybrid Molecular Modeling Scientist for AI-Driven Cancer

MD Anderson Cancer Center; Houston (TX); Hybrid; USD 106,500 - 159,500; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

Retirement benefits

Tuition benefits

Educational opportunities

Team recognition

Job summary

A leading cancer research institute in Houston seeks a Molecular Modeling Scientist to drive the development of AI-enhanced drug discovery. This role involves conducting structural modeling and analysis for novel cancer therapeutics. Candidates should have strong Python skills, expertise in generative AI, and a solid foundation in cheminformatics. Excellent benefits, hybrid work opportunities, and a focus on innovative drug research are part of the offering.

Qualifications

• At least an MSc in Chemistry, Biochemistry, Computer Science, or related field.
• Strong background in computational modeling.
• Willingness to learn new approaches.

Responsibilities

• Generate comparative macromolecular models of potential therapeutic targets.
• Build and apply machine/deep learning models to predict structural properties.
• Document work thoroughly and present results.

Skills

Python programming

Cheminformatics

Generative AI

Experimental techniques

Education

Bachelor's Degree in a relevant field

Master's or PhD in a related field

Tools

PyTorch

Modeller

Rosetta

AMBER

OpenMM

PyMol

VMD

Job description

A leading cancer research institute in Houston seeks a Molecular Modeling Scientist to drive the development of AI-enhanced drug discovery. This role involves conducting structural modeling and analysis for novel cancer therapeutics. Candidates should have strong Python skills, expertise in generative AI, and a solid foundation in cheminformatics. Excellent benefits, hybrid work opportunities, and a focus on innovative drug research are part of the offering.