Principal Scientist – Protein Engineering Display Technologies
Company | Bristol Myers Squibb |
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Location | Daly City, CA, USA, San Carlos, CA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s Degree with 9+ years of academic/industry experience, Master’s Degree with 7+ years of academic/industry experience or PhD in Biochemistry, Bioengineering, Molecular Biology, or related fields with 5+ years of academic/industry experience
- Managerial/supervisorial experience is required
- Demonstrated experience in working in a cross-functional organization is required
Responsibilities
- Lead yeast display team responsible for lead optimization of therapeutic proteins
- Manage protein engineering/lead optimization pipeline and supervise laboratory scientists
- Drive efforts to engineer antibodies, multispecifics, and alternative biologic formats for optimal therapeutic performance
- Perform selections on yeast display libraries
- Library design in collaboration with AI/ML engineers, library construction, NGS
- Independently perform routine molecular biology techniques, DNA assembly and cloning, design expression constructs for external synthesis, and coordinate construct and library orders with CROs
- Analyze library NGS data using no-code or low-code bioinformatics platforms
- Independently perform complex experiments, troubleshoot, expertly analyze and interpret experimental results with strong attention to detail and documentation practices
- Present results internally and externally, attend industry conferences
- Accomplish goals under project team timelines
Preferred Qualifications
- PhD in Biochemistry, Bioengineering, Molecular Biology, or related fields with 5+ years of relevant post-graduate or biotech/biopharma industry experience related to antibody design and engineering
- Expertise in molecular biology including DNA and RNA purification, cloning and DNA assembly, PCR, mutagenesis, plasmid/vector construction, vector elements, Sanger sequencing, NGS library preparation, etc.
- Demonstrated experience in yeast display, antibody/protein library construction, sorting, analytical binding, etc.
- Flow cytometry and FACS
- In-depth understanding and experience in antibody engineering, including, but not limited to, affinity maturation, deep mutational scanning, species cross-reactivity, liability correction, biophysical/physiochemical property remediation, etc.
- Sound understanding of proteins, antibodies, sequence, and structure-function relationships
- Familiarity with biotherapeutics developability and manufacturability
- Familiarity with protein structure analysis (Pymol, Chimera, MOE)
- Familiarity with protein-protein interaction techniques and kinetics (BLI, SPR, on-cell binding)
- Bioinformatics or data science experience is desirable (bash, Python, or R)
- Proficiency with Microsoft Office suite, FlowJo, Prism, DNA cloning software
- Experience in lead discovery and optimization
- Excellent written and oral communication skills