Description
Lead the use of computational genomics to support the discovery and development of novel gene-editing technologies.
You will develop and implement a strategy for novel protein discovery and contribute to advancing programs for proof-of-concept studies. You will contribute scientific, technical, and leadership expertise to a multidisciplinary team, emphasizing conceptualization, experimentation, data analysis, presentation, and strategic planning.
Opportunity to:- Utilize strategies from comparative genomics, evolutionary biology, and sequence analysis to propose and implement methodologies for novel protein discovery.
- Lead the implementation of computational pipelines to mine large-scale genome sequencing data.
- Work both independently and as part of a collaborative, multi-disciplinary team to design, analyze, and interpret multi-omics technologies focused on discovering novel gene writing systems.
- Lead and mentor junior scientists to collectively achieve team goals.
- Collaborate closely with experimental scientists to ensure that data is effectively utilized for high-level impact.
- Present scientific findings to broad audiences including senior leadership to drive decision making in program teams
Basic Qualifications:
- Ph.D. (or comparable experience) in Computational Biology, Bioinformatics, Genomics, Evolutionary Biology, or related discipline.
- Proficient with experimental design, data processing, statistical analysis, and bioinformatics analysis/reporting of next-generation sequencing data.
- Experience with strategies for genome-scale mining initiatives.
- Experience in discovery research.
- Fluency in one or more programming languages with bioinformatics applications (R, Python).
Nice to Have:- Experience in gene therapy and the development of gene editing platforms as therapeutics.
- Strong competency in sequence analysis methods including gene identification, functional annotation, or comparative genomics.
- Familiarity with short and long-read next-generation sequencing platforms (Illumina, PacBio, Nanopore).
- Experience in virology or mobile genetic elements.
