Main characteristics
- Location
- Redmond, Washington
- Company
- Bevov
- Employment type
- Full Time
- Category
- Education
Job summary
Role DescriptionWe are seeking a skilled and experienced Synthetic Biologist or Protein Engineer to join our client's R&D team. The Senior Scientist will be responsible for leading, managing, and executing complex R&D initiatives involving synthetic biology, protein engineering, antibody engineering, and machine learning. The Senior Scientist will act as the primary scientific lead for multiple high-priority external partnerships and collaborations. From a technical perspective, the role will largely involve designing and building yeast surface display libraries, performing and monitoring experimental assays, analyzing next-generation sequencing data, and presenting results internally and externally. The ideal candidate will have impeccable communication and organizational skills, allowing them to effectively manage multiple projects simultaneously. To be successful in this role, candidates must be ambitious, detail-oriented, and comfortable in a rapidly growing and highly dynamic biotech start-up environment. Responsibilities
Lead, design, manage and execute internal and external R&D programs aimed at discovering and optimizing therapeutics
Lead and participate in discussions to determine R&D strategy and define project specifications with external partners and collaborators
Collaborate closely with the Computational Biology Team to analyze massive protein-protein interaction datasets while addressing key research questions
Independently author detailed, accurate, and accessible documentation of experiments and data
Present scientific findings to the internal team and to external partners
Transfer developed and optimized processes to the Production Team, assist with troubleshooting, and write and revise process documentation
Mentor, train, and manage junior members of the R&D and Production Teams
Stay current with scientific literature and present to the team on relevant topics
Qualifications Required
Ph.D. in Life/Chemical/Physical/Engineering Sciences and 5+ years of post-doctoral or industry experience
Impressive technical track record at top-tier academic institutions or companies
Synthetic biology experience and strong molecular biology skills
Experience with DNA encoded libraries (yeast/phage display, yeast-two-hybrid, etc.)
Self-motivation, intellectual curiosity, and excitement to carry out interdisciplinary research involving complex experimental and bioinformatics pipelines
Strong written and oral communication skills
Strong organizational skills
Preferred
Experience in the role of scientific lead or PI on complex research projects
Strong statistics and data science skills in Python (Pandas, Matplotlib, SciPy)
Experience with protein engineering, antibody engineering, and drug discovery
Technical proficiency with at least 1 macromolecular modeling suite, preferably Rosetta
Familiarity with next-generation sequencing platforms, including sample preparation and analysis for Illumina and Oxford Nanopore
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