AI Scientist: Protein Structure & Function Innovator

Howard Hughes Medical Institute (HHMI); Ashburn (VA); On-site; USD 182,160 - 450,000; Full time

Benefits offered by this job

Comprehensive health and welfare benefits

Generous training and travel opportunities

Access to state-of-the-art computational infrastructure

On-site childcare and free gyms

Flexible work arrangements

Relocation assistance for non-local candidates

Job summary

Howard Hughes Medical Institute (HHMI) in Ashburn, Virginia, is seeking an AI Scientist specializing in protein structure and function. The successful candidate will develop AI-driven research programs, focusing on innovative generative AI methods and predictive models. Candidates should have a Ph.D. in relevant fields, preferably with 5+ years of experience in research. The role involves collaboration across disciplines and offers a competitive compensation package with comprehensive benefits, including relocation assistance for non-local candidates.

Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, or related field required.
• 5+ years of experience in research positions.
• Hands-on experience with protein models like AlphaFold.

Responsibilities

• Develop generative AI methods for novel protein design.
• Build predictive models for protein sequence-function relationships.
• Collaborate with scientists and engineers on interdisciplinary research.

Skills

Machine learning expertise

Protein structure/data experience

Strong programming skills in Python

Collaboration within interdisciplinary teams

Education

Ph.D. in relevant fields

Tools

PyTorch

JAX

Job description

Howard Hughes Medical Institute (HHMI) in Ashburn, Virginia, is seeking an AI Scientist specializing in protein structure and function. The successful candidate will develop AI-driven research programs, focusing on innovative generative AI methods and predictive models. Candidates should have a Ph.D. in relevant fields, preferably with 5+ years of experience in research. The role involves collaboration across disciplines and offers a competitive compensation package with comprehensive benefits, including relocation assistance for non-local candidates.