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Scientist - Protein Display Technologies
Company | BioSpace |
Address | Redwood City, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Internet News |
Expires | 2023-07-17 |
Posted at | 11 months ago |
Working with Us
- Present results internally and externally, attend industry conferences
- Some protein expression and characterization
- Analyze library NGS data using no-code or low-code bioinformatics platforms
- Directed evolution using mRNA, phage, or yeast protein display libraries
- Independently perform complex experiments, troubleshoot, expertly analyze and interpret experimental results with strong attention to detail and documentation practices
- Library design in collaboration with AI/ML engineers, library construction, NGS
- Drive efforts to discover and engineer antibodies, multispecifics, and alternative biologics formats for optimal therapeutic performance
- Independently perform routine molecular biology techniques, DNA assembly and cloning, design expression constructs for external synthesis, and coordinate construct and library orders with CROs
- Accomplish goals under project team timelines
- Bachelor's Degree in Biochemistry, Bioengineering, Molecular Biology, or related fields and 5+ years of academic / industry experience
- OR PhD No experience required
- OR Master's Degree in Biochemistry, Bioengineering, Molecular Biology, or related fields and 3+ years of academic / industry experience
- PhD in Biochemistry, Bioengineering, Molecular Biology, or related fields with 1-3 years of relevant post-graduate or biotech/biopharma industry experience, or BS/MS with 6-8+ years of industry experience.
- Proficiency with Microsoft Office suite, FlowJo, Prism, DNA cloning software
- Demonstrated experience in working in a cross-functional organization is required
- Fundamental understanding of proteins, antibodies, and structure-function relationships required. Familiarity with protein structure analysis (Pymol, Chimera).
- Familiarity with protein-protein interaction techniques and kinetics (BLI, SPR, on-cell binding)
- Experience in lead discovery and optimization is preferred
- Bioinformatics or data science experience is desirable (bash, Python, or R)
- Excellent written and oral communication skills
- Experience and enthusiasm to work with mRNA and yeast display
- DNA and RNA purification, cloning, PCR, Sanger sequencing, NGS library preparation
- In-depth understanding and experience in antibody engineering is highly desirable
- Flow cytometry and FACS
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