At C16 Biosciences, we believe that palm oil doesn’t have to be a problem. Our team is building a sustainable and environmentally-friendly alternative to “conflict palm oil,” which relies on tropical rainforest deforestation and emits over 1 billion tons of CO2 into the atmosphere every year. C16 Bio’s technology platform harnesses naturally-occurring biological processes, improved by the latest innovations in strain engineering, fermentation, and low-cost lipid extraction to produce a better kind of palm oil.
As a Scientist on C16 Bio’s Strain Engineering team, you will harness molecular and synthetic biology tools to create new, rationally-designed microbial strains with core performance advantages. You will be entrusted as a thought leader in our broad efforts to develop next-generation strains and oils which deliver value to our customers. Projects may involve manipulating carbon metabolism in order to increase flux towards lipid biosynthesis; introducing exogenous metabolic functions to a host microorganism; or even designing molecular biological pathways to producing superior products which outperform traditionally palm-oil derived ingredients. Through this work, you will manage a substantial laboratory budget, direct prioritization of various projects, and operate with considerable technical independence. Additionally, you will gain exposure to the “rapid prototyping” of a consumer products company and to entrepreneurial science. We are searching for a diligent, inquisitive, and self-motivated individual with a passion for microbes. Candidates for this position must have a PhD degree, with three or more years of relevant wetlab experience, as well as excellent communication, documentation, project management, and organizational skills.
- Contribute to the Strain Engineering team's strategic roadmap and generate new scientific directions to explore
- Own core strain engineering projects, such as design of molecular genetic tools and components and structuring of relevant benchmarking and validation screens
- Execute core strain engineering experiments (e.g., molecular cloning and microbial transformation) to generate new microbial strains
- Develop new techniques and molecular tools to support strain engineering goals
- Manage and mentor Strain Engineering Research Associates
- Coordinate with the Bioprocess team to benchmark strain library performance using high-throughput screening
- Analyze, interpret, and communicate strain engineering results to broader R&D team
- Maintain integrity of relevant laboratory materials (e.g. strain libraries, genetic constructs, equipment and reagents, etc) and standard operating protocols
- PhD in a relevant technical field, such as Chemical Biology, Molecular Biology, Bio-engineering, or Chemical Engineering
- 3+ years of experience working in a wetlab environment
- Proficiency in or ability to quickly learn standard methods of microbiology, molecular biology, and chemical biology: PCR, agarose gel electrophoresis, molecular cloning, microbial transformation (electroporation, etc.), microbial culture, fermentation, and gas chromatography / mass spectrometry
- Masterful understanding of microbial metabolism, metabolic engineering, and synthetic biology concepts
- Comfortable with state-of-the-art bioinformatics and molecular biology software tools, as well as scientific computing and data analysis (MATLAB or Python preferred)
- Self-starter who thrives in independent work environments
- Effective communicator, both within a collaborative scientific team and in communicating science to a non-technical audience
- Self-motivated, fast learner able to simultaneously handle multiple projects
- US Work Eligibility: While we are interested in every qualified candidate who is eligible to work in the United States. However, C16 Biosciences is regrettably unable to sponsor visas.
- PhD or postdoctoral research in yeast metabolic engineering
- First-author peer-reviewed publication(s) demonstrating engineering of biological systems for designed functions
- Previous experience in a startup or commercial research environment