Cell Engineering Scientist
280 UTAH AVE., SUITE 200 SOUTH SAN FRANCISCO, CA 94080 US
Job Description
- Build improved CRISPR-Cas-related and novel systems that enable therapeutic genome and transcriptome engineering
- Identify specific genomic targets and develop candidate strategies for therapeutic intervention using our technology portfolio
- Comprehensively characterize the genotypic changes induced by candidate therapies, including efficacy, specificity, oncogenic potential, etc.
- Assess the functional impact of therapeutic candidates using appropriate in vitro and in vivo model systems
- Develop in vivo delivery approaches for candidate therapies using AAV, LNP, or other platforms
- Support IND-enabling studies including toxicology, CMC, immunology, and related
- Maintain comprehensive, accurate records to support scientific best practices, diligence, IND submissions, etc.
- Mentor and manage junior scientists/associates by leading discussions of new ideas and/or approaches, challenging ideas and interpretations, and cultivating teams to help solve challenging experimental questions
Requirements:
- A PhD in a biological discipline, or a masters with a minimum of four years of experience in independent experimental design, focused on bioengineering to change the behavior of cells through control of the genome or transcriptome
- A creative thinker with a track record of high-quality data generation
- An experimentalist ready and able to drive to the full cycle of design/build/test/analyze
- Strong understanding of cell engineering and tissue culture best practices
Preferred Qualifications:
- Demonstrated track record of characterizing, developing, and optimizing genome or transcriptome modification systems
- Experience using CRISPR-Cas or similar gene editing tools for therapeutic applications
- Experience with therapeutic target selection and optimization
- Experience engineering protein-DNA and/or protein-RNA interactions
- Experience establishing pooled or other high throughput screens
- Demonstrated ability to work in multi-disciplinary teams to achieve experimental objectives
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