Scientific Data Analyst
Full Time • Hybrid - US
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.
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.
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