About the Role We 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 You You 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. Compensation The 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.
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