$142,500 – $256,500
Listed on Moderna’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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