Scientific Data Analyst
Imagineeer
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Arlington, VA
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Mid-Senior level
Posted March 14, 2026
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Responsibilities
Commitments
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
Commitments
U.S. citizenship required; ability to obtain Public Trust clearance
All employment decisions are based on business needs, job requirements, and individual qualifications.
Flexible work from home options available.
Not Met Priorities
What still needs stronger evidence
Requirements
- 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
- Expertise in NAMs or computational toxicology
Preferred Skills
- 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
Education
- (Not required) – 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
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.
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.