Overview In this role you lead the development of scalable TCR optimization workflows to advance TCR-based therapeutics. You will coordinate wet-lab experiments with computational decisions, collaborating across discovery, engineering, AI/ML, and preclinical teams. You drive end-to-end optimization to improve affinity, specificity, stability, and developability for therapeutic formats. This position offers meaningful impact on next-generation TCR candidates and cross-functional collaboration in a fast-paced environment.
Compensation / Benefits- competitive healthcare
- well-being resources including fitness and mindfulness
- family planning benefits
- generous paid time off
- sabbatical and global recharge days
- discretionary year-end shutdown
Responsibilities- Build, optimize, and execute scalable TCR optimization workflows using display technologies and directed evolution
- Establish an end-to-end TCR optimization pipeline linking design, screening, characterization, and lead selection
- Design rational and semi-rational TCR libraries informed by sequence/structure and developability needs
- Lead multi-parameter optimization programs balancing affinity, specificity, stability, expression, developability, and potency
- Partner with computational scientists to integrate cross-reactivity, structure, and developability data into decisions
- Interpret complex screening and biophysical datasets to prioritize candidates and refine strategies
- Support programs by delivering optimized binders suitable for TCR-T, TCR engager, and related modalities
- Evaluate new display/screening/automation/protein-engineering technologies to raise throughput and quality
- Collaborate with AI/ML, NGS, functional assays, reagent generation, preclinical, and external partners to generate actionable data
- Communicate strategy, results, risks, and tradeoffs to multidisciplinary teams
- Communicate scientific strategy and recommendations to project and platform teams
Key requirements- PhD in immunology, protein engineering, molecular biology, biochemistry, biophysics, cell biology, or related disciplines
- At least 5 years of post-PhD experience in TCR engineering, protein engineering, directed evolution, or related fields
- Experience executing TCR or TCR-mimetic optimization workflows
- Hands-on experience with display technologies and library design for affinity maturation and developability optimization
- Experience designing and interpreting binding, stability, expression, functional potency, or biophysical assays
- Ability to lead complex experimental workflows and deliver high-quality datasets under timelines
- Experience collaborating with computational biology, AI/ML, NGS, reagent generation, functional assays, preclinical, or external partners
- Ability to make and communicate key decisions based on data and stakeholder feedback
- Excellent written, presentation, and interpersonal communication skills
- collaborative
- strong communication
- ability to work in a fast-paced, program-driven environment
- display-based screening
- directed evolution
- library design (rational/semi-rational)
