Computational Biologist - Academic Graduate Appointee
Core
Develop computational analytics, reproducible data workflows, and interactive dashboards for biosurveillance, syndromic surveillance, and environmental metagenomics applications.
Role type
Academic Graduate Appointee (Computational Biologist)
Builds
Biosurveillance tools, reproducible bioinformatics workflows, and data visualization dashboards
Domain
Public health, biosurveillance, environmental metagenomics, and biological threat preparedness
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, R, Bash, Linux command-line tools, high-performance computing (HPC), data visualization, workflow management, data quality assessment
Preferred skills
Nextflow, Snakemake, WDL, Slurm, Plotly Dash, Shiny, Git, relational databases, biomedical informatics data formats
Technologies
Python, R, Bash, Linux, HPC, Nextflow, Snakemake, WDL, Slurm, Plotly Dash, Shiny, Git
Responsibilities
Build and maintain reproducible bioinformatics workflows; analyze biological and surveillance datasets; develop reporting tools and dashboards; execute scalable analyses on HPC; evaluate agentic tools for code development; communicate technical results to stakeholders.
Seniority
Entry-level (Academic Graduate Appointee)
