Cloud Bioinformatics Pipeline Architect

Zifo; Cary (NC); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k with company matching

Paid vacation

Life insurance

Flexible spending accounts

Job summary

Zifo is seeking a bioinformatics engineer to design, develop, and productionize scalable workflows for pangenome, haplotype, imputation, and QC, leveraging cloud-native AWS services. You will convert research scripts into automated, reproducible pipelines and collaborate with scientists to ensure biological accuracy of outputs.

Responsibilities include building robust pipelines, integrating validation and logging, and delivering reusable modules with documentation.

Qualifications

• Strong programming 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.
• Understanding of software engineering best practices, including Git, testing, CI/CD, and documentation.

Responsibilities

• Design, develop, and productionize scalable 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.

Skills

Python

Nextflow

Snakemake

WDL

CI/CD

Git

Documentation

Tools

AWS

Docker

Job description

Zifo is seeking a bioinformatics engineer to design, develop, and productionize scalable workflows for pangenome, haplotype, imputation, and QC, leveraging cloud-native AWS services. You will convert research scripts into automated, reproducible pipelines and collaborate with scientists to ensure biological accuracy of outputs.

Responsibilities include building robust pipelines, integrating validation and logging, and delivering reusable modules with documentation.