Bioinformatician

We are seeking a Bioinformatician to join our multidisciplinary team advancing genetics-first drug discovery. In
this role, you will focus on building, productionizing, and maintaining scalable analysis pipelines that enable
large-scale statistical genetics and multi-omics studies. You will translate statistical genetics methods and
algorithms into robust, reproducible workflows (primarily in Python and Nextflow or similar), run and optimize
them on cloud and/or HPC environments, and ensure high standards for testing, version control,
containerization, and data provenance. Success in this role requires strong software engineering fundamentals,
comfort working with large datasets, and the ability to collaborate closely with geneticists, statisticians, and
software developers to deliver reliable analyses and clear outputs for internal teams and external partners.

See full posting here: https://5primesciences.com/careers/.

• Design, develop, and maintain scalable Python-based software for large-scale genomic and multi-omic
  datasets.
• Translate statistical genetics methods and algorithms into reproducible, production-grade workflows
  using Nextflow.
• Implement robust testing frameworks to ensure reliability and reproducibility of analytical pipelines.● Optimize existing algorithms and workflows to improve computational efficiency, scalability, runtime,
  and cost in cloud/HPC environments.
• Contribute to code quality through version control, documentation, code review, and adherence to
  software engineering best practices.
• Collaborate closely with scientists to implement and productionize novel statistical genetics algorithms,
  and partner with other bioinformaticians and data engineers to integrate these methods into scalable,
  robust, and maintainable pipelines and shared infrastructure.

• Minimum BSc in Computer Science, Statistics, Mathematics, or a related quantitative field; graduate
  degrees are preferred.
• Minimum 2 years of professional software development experience.
• Advanced proficiency in using Python to build robust analytical workflows, process large-scale data and
  develop pipelines.
• Advanced proficiency with command-line environments (Bash, Unix/Linux).
• Experience developing and maintaining workflows using Nextflow, WDL, Snakemake, or other workflow
  definition languages. Preference is given to Nextflow.
• Experience with containerization tools (Docker or similar).
• Proficiency with version control systems (e.g., Git).
• Experience working with cloud computing environments (e.g., AWS, GCP, DNANexus, or similar
  platforms – preference is given to GCP).
• Experience working with large-scale datasets.
• Experience with AI-assisted coding tools and workflows (e.g., GitHub Copilot, ChatGPT, Claude) to
  enhance productivity, code quality, and documentation.