Bioinformatics Workflow Developer

Zifo • Cary, NC

3d

About The Position

Design, develop, and productionize scalable bioinformatics workflows supporting pangenome graph construction, haplotype expansion, population-scale imputation, and genomic data quality control. This role focuses on transforming research-grade analyses into robust, reusable, and cloud-enabled pipelines that support large-scale multi-crop genomics programs.
Develop and maintain production-grade bioinformatics workflows for pangenome, haplotype, imputation, and QC processes.
Convert research scripts and manual analyses into automated, version-controlled, and reproducible pipelines.
Work with genomic data formats including FASTA, GFF/GTF, VCF, BAM/CRAM, haplotype outputs, and associated metadata.
Implement workflows using cloud-native AWS services, leveraging S3 storage and scalable batch execution.
Build validation, logging, provenance tracking, and error-handling capabilities into workflows.
Collaborate with scientists and domain experts to ensure biological accuracy and usability of outputs.

Requirements

• Strong programming experience in Python, Nextflow, Snakemake, WDL, or similar workflow frameworks.
• Experience processing large-scale genomics datasets and common bioinformatics file formats.
• Familiarity with AWS cloud services and distributed computing environments.
• Understanding of software engineering best practices, including Git, testing, CI/CD, and documentation.

Nice To Haves

• Production-ready workflow modules and reusable pipeline templates.
• Automated QC and validation reports.
• Execution and operational documentation.
• Reliable mechanisms for workflow monitoring, reprocessing, and onboarding of new datasets.

Responsibilities

• Develop and maintain production-grade bioinformatics workflows for pangenome, haplotype, imputation, and QC processes.
• Convert research scripts and manual analyses into automated, version-controlled, and reproducible pipelines.
• Work with genomic data formats including FASTA, GFF/GTF, VCF, BAM/CRAM, haplotype outputs, and associated metadata.
• Implement workflows using cloud-native AWS services, leveraging S3 storage and scalable batch execution.
• Build validation, logging, provenance tracking, and error-handling capabilities into workflows.
• Collaborate with scientists and domain experts to ensure biological accuracy and usability of outputs.

Benefits

• accrued vacation
• medical
• dental
• vision
• 401k with company matching
• life insurance
• flexible spending accounts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed