Scientific Data Analyst

Scientific Data Analyst Arlington, VA Job Details Full-time 1 hour ago Benefits Health insurance Paid time off Work from home 401(k) matching Qualifications Web accessibility Bioinformatics Statistics Doctoral degree in statistics Computer science Data modeling Data Integration (Data management) Statistics Computer Science Scientific publications R Mathematics Master's degree Databases Data quality management Doctoral degree in Computer Science Ph.D. in statistics Doctor of Philosophy Perl Research data analysis Toxicology Data validation Senior level 4 years Research findings presentation Bioinformatics data analysis Python Cloud services

Data Science Full Job Description Benefits:

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

Role:

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application programs across D-NICEATM and DAIBR. You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research.

Key Responsibilities:

Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages Develop and update user support materials, websites, and training resources Ensure all published materials meet 508-compliance standards Present complex analytical results clearly to scientific and non-technical audiences Support data validation, cleansing, and governance per NIH data quality standards

Qualifications and Skills:

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional 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

Desired Skills and Competencies:

Expertise in NAMs or computational toxicology Experience with NIH scientific databases and platforms Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or

ICCVAM/OECD

validation standards Prior NIH and/or HHS contractor experience Experience with cloud platforms or HPC environments Peer-reviewed publications in a related field

Equal Opportunity Employer:

We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.