A Bioinformatician uses computers and software tools to study biology and biology-related data. Conducts studies and maintains biology data; may develop specialized bioinformatics software. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
Our client is a leading biotechnology company seeking a Bioinformatics Workflow Developer to support computational research and drug discovery initiatives.
Title:
Bioinformatics Workflow Developer Duration:
12-Month Contract | W2 +
Benefits Location:
US Remote |
PST Hours Pay Rate:
$40-45/hr Position Overview This role will develop and optimize reproducible, scalable bioinformatics workflows for large-scale biological datasets, working closely with computational scientists, biomarker researchers, and experimental biologists. Key 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. Qualifications 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. INDBH #LI-MG1
