Join LLNL and make your mark on the World by leading high-impact multidisciplinary research at the interface of protein design, ultra-high-throughput experimentation, and directed evolution. The project you will join spans multiple teams in the Physical and Life Sciences Directorate, Computing, and Engineering, working on state-of-the-art approaches for antibody and protein design and optimization.
Requirements
- Ph.D. in Biochemistry, Bioengineering, Synthetic Biology, Chemical Biology, Chemical Engineering or other relevant field
- Significant experience with yeast display and cell sorting (FACS, MACS, custom microfluidic systems)
- Advanced knowledge of protein-protein interaction biology, including antibody engineering principles and biophysical characterization methods
- Advanced in molecular cloning and DNA library construction, sufficient to guide the work of junior team members and support troubleshooting and customization
- Significant experience with NGS workflows as applied to display library analysis
- Advanced literacy in computational biology, e.g. ability to work with data in Python or R, interpret bioinformatics outputs, and engage meaningfully with purely computational colleagues
- Significant experience with supervision or mentorship of junior researchers (e.g. graduate students, postdocs, or research associates), with evidence of positive scientific and professional outcomes
- Advanced communication skills, including a proven ability to convey complex experimental concepts clearly to non-experimentalists as well as non-technical stakeholders
Benefits
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)