Scientific Data Analyst

Role Overview

Provide computational, data science, and bioinformatics support for research validation and application programs across D-NICEATM and DAIBR. Develop and maintain NIH databases, build analytical tools, and deliver data-driven insights to a multidisciplinary team.

What You Will Do

Develop and execute analytical workflows, apply computational and bioinformatics methods, maintain and enhance NIH databases, build and maintain data pipelines and analytical tools, and present complex analytical results to scientific and non-technical audiences.

Why It Might Be a Fit

This role requires a strong background in statistical analysis, data modeling, and computational methods, as well as proficiency in at least two programming languages and experience with bioinformatics tools and databases.

Requirements

• PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience
• Proficiency in at least two programming languages: Python, R, Perl, or equivalent
• Experience with bioinformatics tools, databases, and high-throughput data analysis
• Experience managing and integrating large biomedical or genomic datasets
• Strong background in statistical analysis, data modeling, and computational methods
• U.S. citizenship required; ability to obtain Public Trust clearance

Benefits

• 401(k) matching
• Competitive salary
• Health insurance
• Paid time off