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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and develop distributed data models, storage schemas, and query engines optimized for genomic and multi-omic data at scale on the DNAnexus Platform.
- Build scalable, production-grade framework components for the DNAnexus Platform to support genomic and multi-omic analytical workflows.
- Share bioinformatics knowledge within the team of engineers for the purpose of building a product together within a team.
- Stay current with the latest advancements in bioinformatics data management and analytics to drive platform innovation.
Requirements
What you’ll need- 5+ years of professional experience in software development in Python, in a bioinformatics or life science context.
- Experience performing large-scale genomic association, burden, and polygenic analyses (e.g., with REGENIE, SAIGE), including upstream data preparation, quality control, and cohort construction.
- Working knowledge of clinical genomics workflows, including EHR and FHIR-based genomic data exchange preferable.
- Excellent communication and collaboration skills to work effectively with cross-functional teams (scientists, product managers, engineers).
- Bioinformatics knowledge and ability to work with engineers to translate the research concepts into a newly developed solution.
Benefits
Comp & perks- Employees can work remotely
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythongenomic association analysisburden analysispolygenic analysisdata preparationquality controlcohort constructionbioinformaticsclinical genomics workflowsdata management
Soft Skills
communicationcollaborationteamworkknowledge sharingcross-functional teamwork
