About the RoleWe are seeking a Principal Translational Computational Biologist to connect structure-based design with drug development. This role is responsible for establishing pipelines to collect and curate antibody/biologics sequence, structural, and functional datasets and liaising with the design teams to enable model refinement and generation through specific analyses. In that capacity, they will act as both a platform builder and as a key member of multiple therapeutics project teams.
About YouYou are an expert in analyzing antibody/biologics sequences and structures, as well as in the optimization of potential candidates to enable lead generation.
Key Responsibilities - Conceive, execute, and communicate computational analyses of antibody/biologics sequences and structures in combination with a wide range of assay information to guide large molecule drug development.
- Collaborate with experimentalists to evaluate and extend computational tools and create efficient pipelines for the analysis of assay, multi-omic, and structural data in the context of large-molecule drug development.
- Collaborate with colleagues to design and execute wet-lab experiments that will enable informative computational analyses.
- Design and execute computational analysis in accordance with best-in-class scientific standards and software development practices to ensure robust, reproducible results.
- Communicate complex computational concepts and results to non-expert stakeholders.
Minimum Qualifications- Experience establishing efficient pipelines for the analysis of high-throughput screening data from antibody and other large molecule drug development programs.
- Experience with analysis of a range of assay data in a drug development context, including binding (e.g., SPR), display experiments, and developability assays (e.g., viscosity and aggregation).
- Experience with structure and sequence analysis in the context of large-molecule drug development, including integration of screening information with experimentally determined structures and computational models.
- Experience with relevant genomic and transcriptomic analyses for large molecule drug development.
- Ability to write high-quality analytical code both independently and as part of a team.
- Excellent oral and written communication skills. Ability to communicate complex concepts to audiences with a wide range of backgrounds and technical familiarity.
- Ability and desire to work in a fast-paced interactive environment.
- PhD in Biology, Bioinformatics, Bioengineering, Computer Science, or equivalent.
- 5-8 years of experience post-PhD expected.
Preferred Qualifications- Prior pharmaceutical or biotechnology industry research and development experience desired.
CompensationThe specific compensation package for this role depends on experience, qualifications and level. We anticipate the compensation range to be $170,000 to $300,000 per year.
Xaira Therapeutics is an equal opportunity employer. We thrive on diversity and collaboration, and we welcome candidates with diverse backgrounds and experiences.