TES Research Associate

Careerwebsite; Auburn, Northern (AL, KY); Hybrid; USD 25,000 - 40,000; Part time

Benefits offered by this job

Remote work consideration

Temporary Employment Services

Job summary

The Imaging of Brain Health Lab at Auburn University is seeking a part-time Research Associate (0.5 FTE) to support neuroimaging research across the lifespan. You will organize large imaging datasets, configure UKB-RAP, and develop workflows on HPC platforms.

Ideal candidates hold a Master’s degree in a related field, are proficient in Python and Bash in Linux, and can document computational pipelines for reproducible analysis.

Qualifications

• Master’s degree in engineering, computer science, informatics, data science, or a related field.
• Proficiency in Python and Bash, with experience in Linux.
• Basic understanding of neuroimaging data structures and standards such as BIDS.
• Ability to document computational workflows and pipelines clearly.

Responsibilities

• Organize and maintain neuroimaging datasets (e.g., HCP-D, ABCD).
• Configure and use UKB-RAP for data analysis.
• Develop and run neuroimaging workflows on HPC systems.
• Document reproducible pipelines and assist with IRB/data use materials.

Skills

Python

Bash

Linux

Documentation

Education

Master’s degree

Tools

MATLAB

FSL

FreeSurfer

HCP Workbench

R

UKB-RAP

Job description

Imaging of Brain Health Lab | Auburn University | Part time (0.5 FTE)

The Imaging of Brain Health (IBH) Lab at Auburn University is seeking a Research Associate to support neuroimaging research on brain health across the lifespan. This role is suited to someone interested in large imaging datasets, reproducible analysis, and high-performance computing.

Responsibilities

• Organize and maintain neuroimaging datasets, including HCP-D and ABCD.
• Help configure and use the UK Biobank Research Analysis Platform (UKB-RAP).
• Develop and run neuroimaging workflows on HPC systems.
• Document reproducible pipelines and assist with IRB and data use agreement materials.

This is a one-year, part-time appointment (0.5 FTE) through Auburn University Temporary Employment Services, with possible renewal based on performance and funding. Remote work may be possible, subject to university approval.

Required qualifications

• Master’s degree in engineering, computer science, informatics, data science, or a related field.
• Proficiency in Python and Bash, with experience working in a Linux environment.
• Basic understanding of neuroimaging data structures and standards, such as BIDS.
• Ability to develop and maintain clear documentation for computational workflows and pipelines.

Preferred qualifications

• Experience with HPC systems and job schedulers.
• Experience with MATLAB, neuroimaging software such as FSL, FreeSurfer, or HCP Workbench, and statistical tools such as R.