# Scientific Linux Researcher

**Company:** [Axle](https://hotfix.jobs/companies/axle)
**Location:** Baltimore, MD
**Role:** Other
**Salary:** $90k – $102k/yr
**Skills:** Linux, Python, R, Bash, Git, Unix, Linux Administration, Data Analysis, Data Management, High-Performance Computing
**Posted:** 2026-07-06

> Support Linux computers and perform data analysis for research at NIDA/NIH. Requires Linux administration, troubleshooting, lab support, and skills in Python, R, Bash, and Git.

## Job Description

## Responsibilities
- Perform troubleshooting of Linux-based computer equipment; document actions and initiate corrective action.
- Perform Linux administration and data analysis.
- Maintain and operate Linux-based laboratory computers.
- Optimize research using high-performance computing resources and software solutions.
- Perform laboratory experiments in support of research programs and projects.
- Perform fundamental procedures required for research projects.
- Maintain clear and accurate records of laboratory work; convert to electronic records.
- Conduct data storage, record keeping, retrieval, and entry using multiple IT systems.
- Operate a variety of laboratory equipment.
- Perform quality control, upkeep, and routine maintenance of equipment.
- Order and maintain laboratory supplies, including chemicals, biological materials, and liquid nitrogen.
- Prepare purchase requests for new or replacement computer equipment through NIH procurement systems.
- Attend laboratory meetings; present findings to staff.
- Attend and present data at one national scientific meeting.
- Develop strategies with supervisor and laboratory personnel to plan subsequent experiments.
- Collaborate with staff on planning and executing development of new computing tools.
- Interact with scientists from other organizations on related research projects.

## Requirements
- Field of study in Computer Science, Information Sciences, Computer Administration Management and Security, Computer and Information Systems, or Computer Programming and Data Processing.
- Proficiency in Python, Linux, Unix, Bash, Git, and R.
- Skills in Linux Administration, Data Management, and Data Analysis.

## Nice-to-Haves
- Experience with high-performance computing resources.
- Background in biomedical or drug abuse research support.

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