# Principal Scientist, Computational Protein Design

Hiring organization: [Moderna](https://career.thegoodapps.co/organizations/moderna)

Canonical page: https://career.thegoodapps.co/jobs/4c8a9db9-94a1-4163-9c34-f9b43b64befb

Listed on Moderna's own careers site. Applications go to them directly.

- Seniority: Principal
- Salary: 142500 – 256500 USD per year

## Summary

This role leads computational protein design projects at a biotech company, focusing on engineering T cell receptors and antibodies using modern AI and structure-based methods. It suits experienced computational biologists or protein engineers who want to bridge computational design with experimental validation at scale.

_Our summary, not Moderna's wording._

## Skills named

Machine Learning, Python

## Required

- PhD in computational biology, protein engineering, bioinformatics, structural biology, biophysics, or related field
- At least 5 years of post-graduate experience in computational protein design
- Demonstrated experience with de novo binder generation and optimization using AI/ML and structure-informed approaches
- Experience connecting computational design to experimental validation
- Track record leading or contributing to discovery programs across computational biology, AI/ML, structural biology, and immunology teams
- Strong publication record or equivalent scientific impact in computational protein design or related fields
- Technical fluency with AlphaFold, Rosetta, PyRosetta, RFdiffusion, ProteinMPNN, and related tools
- Experience mentoring scientists or managing direct reports
- Excellent written, presentation, and interpersonal communication skills

## Nice to have

- Over 5 years post-graduate experience with strong publication record in de novo binder design
- Direct experience designing or engineering TCRs
- Strong understanding of TCR structure, HLA restriction, cross-reactivity, and alloreactivity constraints
- Experience implementing modern machine learning methods and Python-based computational workflows
- Ability to work with computational scientists and AI/ML teams on modern infrastructure
- Experience building computational specificity and off-target screening workflows
- Familiarity with experimental validation methods like yeast display, phage display, deep mutational scanning, or cell-based assays
- Ability to evaluate protein design opportunities beyond binders, such as enzymes, DNA-binding proteins, or engineered scaffolds
- Demonstrated ability to operate as both technical contributor and cross-functional partner in program-driven environments

Apply on Moderna's site: https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Cambridge-Massachusetts/Principal-Scientist--Computational-Protein-Design_R19575