Job description
Serotiny invents multi-domain proteins for gene and cell therapies including genome editors and chimeric antigen receptors. These novel synthetic proteins are central to cutting edge therapeutics, providing enhanced safety and efficacy through advanced control methods and engineered functionalities. We couple synthetic biology with machine learning to generate large-scale protein libraries for high-throughput screening.
Serotiny is looking for a Data Scientist / Bioinformatics Scientist to work within a cross functional team of protein engineers, cell biologists, and software engineers to build out and deploy Serotiny's high-throughput methods.
Role
Independently scope, develop, and implement algorithms for multi domain protein discovery and characterization
Collaborate with cross functional team to analyze NGS data from cell-based CAR-T and gene editing assays
Write clear and well documented code in a collaborative environment
Scale data pipelines from proof of concept to production ready
Participate in team meetings and provide regular written communication on all projects and milestones
Qualifications
Experience with bioinformatics algorithm development in the field of gene editing or NGS
Demonstrated knowledge and experience using Python
Additionally, familiarity/experience with NLP, PyTorch, Docker, NextFlow, and AWS will be well regarded
Knowledge of protein biochemistry, cell-based assays, flow cytometry, FACS, or gene editing technologies
Familiarity with software development practices like as unit testing, code reviews, and git
Candidates must be authorized to work in the US
Perks
Full health benefits
Budget to host and attend conferences/meetups
Opportunities to research and publish cutting edge synthetic biology
Opportunity to invent new proteins and design methodologies
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