[Hiring] Genetic Bioinformatics Scientist @Genscience
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
Apply To this Job
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
Apply To this Job