[Hiring] Genetic Bioinformatics Scientist @Genscience

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly motivated Bioinformatics Scientist to join our team. Genscience is focused on providing integrated genetic and genomic tools and services with differentiated data and analytical capabilities, creative solutions, and decision-driving insights for drug discovery and development. • Develop, maintain, and optimize bioinformatics pipelines using R, Linux, and AWS/HPC environments • Integrate, curate, and analyze genetic studies (e.g., GWAS, RVAS, eQTL) • Use and extend biological ontologies to support data harmonization and annotation mappings • Deploy, scale, and manage computational workflows on AWS/HPC • Collaborate with cross-functional teams to translate scientific questions into computational approaches • Document pipelines, results, and methods in a clear, reproducible manner • Collaborate with data engineers & scientists to establish data architectures and ETL • Contribute to drug discovery research projects Qualifications • Bachelor’s degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field; or equivalent industry experience • Strong proficiency in R • Proficiency in command line scripting and Linux-based environments • Demonstrated experience working with genetic studies or other genomic datasets • Ability to work remotely with most real-time collaboration on U.S. eastern time • Flexibility to participate in at least six in-person meetings each year Requirements • M.S. in bioinformatics, computational biology, genetics, computer science, or a related field; or equivalent professional experience • Experience working with cloud-based bioinformatics pipelines (e.g., AWS) and pipelining tools (e.g., Nextflow, Snakemake) • Experience working with large-scale genomic data • Knowledge & experience using biomedical/biological ontologies (e.g., MONDO, HPO, EFO) • Experience collaborating with a team using version control (Git) • Familiarity with SQL, Python, and/or Spark Benefits • Part of a small, mission-driven team making big scientific impacts across the drug discovery industry • See the direct impact of your work on company milestones, scientific results, and product features • Work closely with thoughtful, collaborative teammates who value curiosity, kindness, and transparency • Participate in a culture that encourages asking questions, giving feedback, and continuous learning • Gain experience with cutting-edge genomic technologies, tools, and cloud-scale data infrastructures Apply tot his job

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