Senior Scientist I, Computational Protein Design

The role

You will develop computational technologies and lead applied platform research to expand protein therapeutics. This involves creating reusable methods, scoring tools, model benchmarks, agentic systems, and scientific workflows for protein design and optimization.

What you will do

• Lead technology development and applied platform research.
• Identify capability gaps and define research plans, milestones, and decision criteria.
• Build and evaluate reusable protein engineering capabilities.
• Develop computational methods for protein design, optimization, and interaction modeling.
• Create scores and benchmarks to assess sequences, structures, and biological functions.
• Engineer and validate new molecular capabilities through iterative design-build-test-learn studies.
• Partner with machine learning and engineering to translate platform needs into model objectives.
• Build agentic systems and multi-agent workflows for therapeutic protein design.
• Enable new therapeutic applications by combining validated capabilities.
• Transfer and disseminate successful approaches as documented methods and workflows.

Required qualifications

• Strong scientific and quantitative foundations.
• Practical fluency in modern machine learning and computational methods relevant to protein science, molecular modeling, or biological design.
• Record of translating research ideas into reusable computational methods, models, software, or workflows.
• Experience designing rigorous benchmarks or evaluation frameworks.
• Experience tackling applied biological or therapeutic problems with multidisciplinary teams.
• Strong hands-on computational skills including Python and modern ML frameworks such as PyTorch or JAX.
• Experience contributing reliable code in a shared environment.
• Strong understanding of protein structure, sequence-structure-function relationships, molecular interactions, and biophysics.
• PhD in a relevant scientific or engineering discipline.
• At least three years of industry experience following completion of the PhD.
• Demonstrated ability to lead consequential technical work with substantial independence.

Nice to have

• Experience building LLM-enabled agents, scientific copilots, or multi-agent systems for therapeutic design or scientific hypothesis generation and testing.

Benefits

• Annual bonus
• Equity compensation
• Competitive benefits package

About the company

Generate Biomedicines is a clinical-stage generative biology company pioneering the AI revolution in drug design and development. The company integrates machine learning with large-scale experimentation to design proteins with defined biological intent.