Part-Time Bioinformatics Pipeline Engineer 6-Month Temp

ULSA University of Louisville; United States; On-site; USD 34,000 - 62,000; Part time

Job summary

The University of Louisville Brown Cancer Center Bioinformatics Core is seeking a part-time (10 hours per week) temporary worker to automate and refactor existing computational biology pipelines. The role lasts about 6 months, with compensation commensurate to experience.

The successful candidate will automate workflows for RNA-Seq, DNA-Seq, ChIP-Seq and single-cell data, manage HPC jobs, and contribute to testing and documentation while collaborating with core team members and the Principal

Qualifications

• Degree in Computer Science and Engineering.
• Proficiency in Python, R or Bash for data pipelines.
• Familiarity with Unix/Linux command-line environments.
• Understanding of software engineering best practices: version control, testing and documentation.
• Experience with containerization and HPC/cluster computing; exposure to bioinformatics.

Responsibilities

• Refactor and automate existing bioinformatics pipelines (RNA-Seq, DNA-Seq, ChIP-Seq, scRNA-seq) for reproducibility.
• Convert ad hoc analysis scripts into modular, parameterized workflows.
• Set up and maintain automated execution on HPC clusters with scheduling/dependencies.
• Add error handling, logging and basic validation/testing to pipelines.
• Use GitHub for version control and collaborate with Core members.
• Communicate progress and troubleshoot with the Principal Investigator.

Skills

Python

R

Bash

Unix/Linux

Education

B.S. in Computer Science and Engineering

Tools

Docker

Singularity

HPC

Job description

The University of Louisville Brown Cancer Center Bioinformatics Core is seeking a part-time (10 hours per week) temporary worker to automate and refactor existing computational biology pipelines. The role lasts about 6 months, with compensation commensurate to experience.

The successful candidate will automate workflows for RNA-Seq, DNA-Seq, ChIP-Seq and single-cell data, manage HPC jobs, and contribute to testing and documentation while collaborating with core team members and the Principal