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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and productionizing scalable bioinformatics workflows, with a strong focus on cloud-native implementations using AWS services. Proficient in automating analyses and ensuring data quality through robust validation and error-handling mechanisms.
Highest-signal resume keywords
Bioinformatics Workflow DevelopmentAWS Cloud ServicesPython ProgrammingNextflow Workflow FrameworkData Quality Control
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Bioinformatics WorkflowsPangenome AnalysisHaplotype ExpansionPopulation-Scale ImputationAutomated PipelinesFASTA FormatVCF FormatBAM/CRAM FormatGit Version ControlCI/CD Practices
Soft Skills
CollaborationCommunication
Tools & Technologies
AWS S3 StorageSnakemakeWDLDistributed Computing
Industry Keywords
Genomic Data Quality ControlValidationLoggingProvenance TrackingError Handling
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Design, develop, and productionize scalable bioinformatics workflows
- Support pangenome graph construction, haplotype expansion, population-scale imputation, and genomic data quality control
- Transform research-grade analyses into robust, reusable, cloud-enabled pipelines
- Develop and maintain production-grade workflow modules
- Convert research scripts and manual analyses into automated pipelines
- Implement cloud-native workflows using AWS services, S3 storage, and scalable batch execution
- Build validation, logging, provenance tracking, and error-handling capabilities
- Collaborate with scientists and domain experts to ensure biological accuracy and usability
- Produce automated QC and validation reports
- Create execution and operational documentation
- Provide workflow monitoring, reprocessing, and onboarding mechanisms for new datasets
Requirements
What you’ll need- Experience developing production-grade bioinformatics workflows for pangenome, haplotype, imputation, and QC processes
- Experience converting research scripts and manual analyses into automated, version-controlled, reproducible pipelines
- Experience with FASTA, GFF/GTF, VCF, BAM/CRAM, haplotype outputs, and associated metadata
- Experience using AWS cloud services, including S3 storage and scalable batch execution
- Experience building validation, logging, provenance tracking, and error-handling capabilities
- Strong programming experience in Python, Nextflow, Snakemake, WDL, or similar workflow frameworks
- Experience processing large-scale genomics datasets
- Familiarity with distributed computing environments
- Understanding of Git, testing, CI/CD, and documentation
- Ability to collaborate with scientists and domain experts
Benefits
Comp & perks- Accrued vacation
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with company matching
- Life insurance
- Flexible spending accounts
- Equal opportunity and diversity-focused workplace
