Bioinformatics Workflow Developer

About the role

This 12-month contract role supports computational research and drug discovery initiatives by developing and optimizing reproducible, scalable bioinformatics workflows for large-scale biological datasets. You will work closely with computational scientists, biomarker researchers, and experimental biologists.

Responsibilities

• Develop, maintain, and productionize bioinformatics workflows using Nextflow, WDL, CWL, or Snakemake.
• Analyze bulk and single-cell transcriptomic and epigenetic datasets, including RNA-seq, GWAS, proteomics, and perturbational data.
• Build computational tools, libraries, statistical models, and visualizations to support biological research.
• Deploy workflows across HPC and cloud environments.
• Leverage AI/LLM tools and agentic coding workflows to improve development and analysis efficiency.
• Communicate computational findings through Jupyter/R Notebooks, visualizations, and presentations.
• Maintain strong standards for reproducibility, documentation, and data stewardship.

Requirements

• Bachelor's degree or higher in Bioinformatics, Computational Biology, Genomics, Systems Biology, Statistics, or a related field.
• Must be authorized to work for a US employer without sponsorship.
• 2–5+ years of experience working with large-scale biological or clinical datasets.
• Strong Python and/or R skills; experience with Scanpy, AnnData, Pandas, scikit-learn, ggplot2, and/or Bioconductor.
• Hands-on experience with Nextflow, WDL, CWL, or Snakemake.
• Experience with Linux, HPC, Git, and cloud environments.
• Familiarity with AI/LLM-assisted development, including agentic coding or automated refactoring.
• Knowledge of FAIR data principles and containerization using Docker, Singularity, or Apptainer.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Pay

$40–45/hour

Schedule

PST Hours