Linux Administrator and Data Processor - Baltimore, United States - GAP Solutions, Inc. (GAPSI)

Description

Position Objective: Provide services as a Linux Administrator and Data Processor in support of the overall functions of the National Institute on Drug Abuse (NIDA) within the National Institutes of Health (NIH). The purpose of this position is to administer several Linux computers in our research facility and to perform basic data processing.

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Duties and Responsibilities:

• Provide statistical support to staff, including data analysis and the generation tools for researchers to use.
• Provide software recommendations and solutions across diverse scientific applications, including freeware relevant to analyses of scientific discovery.
• Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment. 1
• Design, develop, document, analyze, create, test and modify computer systems, programs and integrations. 2
• Develop methods for analyzing complex datasets from various sources; document methodological approaches to data analysis performed, including detailed procedures and rationale.
• Provide performance tuning, hardware upgrades, and resource optimization across the full range of scientific high- performance computing architecture. 4
• Perform statistical analysis of experimental data obtained at various time points. 3
• Utilize knowledge of data structure, data management and various programming language. 5
• Drive collection of new data and the refinement of existing data.
• Prepare data and analysis for presentations and publication. Prepare research data for presentation and manuscripts.
• Clean Equipment - Ad-Hoc
• Run Validation - Ad-Hoc
• Inspect Equipment - Ad-Hoc
• Meet with lab members to present updates - Ad-Hoc

Basic Qualifications:

• Bachelor's degree in computer administration management and security, computer and information systems, computer programming and data processing, computer science, chemistry, biochemical sciences, physics, or a related field.
• Skilled in R, Pandas, Python, SQLite, Linux, MySQL, NumPy, MariaDB, Bash, and Git.
• Experienced in statistical modeling, database management, data visualization, scientific data analysis, linux administration, and data cleaning.

Minimum Qualifications:

• Ability to multi-task and pay close attention to detail.
• Excellent analytical, organizational and time management skills.
• Strong communication skills, both oral and written.