Scientist/sr. Scientist - Protein Engineering

Eli Lilly Eli Lilly · Pharma · San Diego, CA

Scientist/Sr. Scientist role focused on protein engineering, specifically antibody optimization and phage display-based discovery within a healthcare/biotechnology research division. Involves molecular biology, biochemistry, and developing/optimizing assays.

What you'd actually do

  1. Engineer, characterize, and optimize antibodies, multispecifics, therapeutic proteins, and alternative scaffolds using rational design and library-based approaches
  2. Execute phage display campaigns including library construction, biopanning, clone screening, and hit identification
  3. Perform molecular cloning (PCR, Gibson assembly, site-directed mutagenesis, restriction digest/ligation) to support construct generation and library construction
  4. Develop, optimize, and execute biochemical and biophysical assays (ELISA, BLI/Octet, SPR, SDS-PAGE) to characterize engineered variants
  5. Analyze sequencing data to confirm construct identity and triage candidates for downstream evaluation

Skills

Required

  • Bachelor's or Master's degree in Biochemistry, Molecular Biology, Protein Engineering, Biotechnology, Cell Biology, or a related field
  • 3+ years of relevant laboratory experience
  • Molecular biology and cloning techniques (PCR, Gibson assembly, site-directed mutagenesis, restriction digest/ligation, bacterial transformation)
  • Phage display technology
  • Protein or antibody engineering and optimization approaches
  • ELISA and binding assay techniques
  • Protein structure and structure-activity relationships
  • Biochemical and biophysical assays (ELISA, BLI/Octet, SPR, SDS-PAGE)
  • Sequencing data analysis
  • Effective interpersonal, written, and oral communication skills
  • Excellent analytical and organizational skills with high attention to detail
  • Ability to work independently as well as in cross-functional team settings

Nice to have

  • Experience with antibody (scFv, Fab) or single-domain antibody libraries
  • Experience with BLI (Octet) or SPR (Biacore)
  • Knowledge/experience in cell culture and cell-based functional assays
  • Experience working with automation platforms
  • Computational skills such as Python or R for data analysis, scripting, or bioinformatics workflows
  • Familiarity with next-generation sequencing (NGS) data in the context of antibody discovery or directed evolution