Scientific Data Analyst

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: 

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

  Qualifications and Skills: 

1. 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  
2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent  
3. Experience with bioinformatics tools, databases, and high-throughput data analysis  
4. Experience managing and integrating large biomedical or genomic datasets  
5. Strong background in statistical analysis, data modeling, and computational methods  
6. U.S. citizenship required; ability to obtain Public Trust clearance 

  Desired Skills and Competencies: 

1. Expertise in NAMs or computational toxicology  
2. Experience with NIH scientific databases and platforms  
3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards  
4. Prior NIH and/or HHS contractor experience  
5. Experience with cloud platforms or HPC environments  
6. 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.

PhD or Master in a related field with 4+ years of experience; proficiency in Python and R (and possibly Perl); experience with bioinformatics and large biomedical datasets; US citizenship and ability to obtain Public Trust clearance.

Key Responsibilities

• Develop workflows
• Build pipelines
• Maintain databases

Skills & Tools

Python, R, Perl

Job Details

• Category: Data and Analytics
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — Arlington, Virginia, United States
• Languages: English

Benefits

• 401k matching
• Generous paid time off

About IMAGINEEER LLC

A research-focused technology company delivering data-driven biomedical insights. — Industry: Information Technology