Scientific Data Analyst

Imagineeer LLC

$110K — $115K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in bioinformatics, statistics, or related field with 4+ years of experience, or equivalent Master's with additional 4 years.
  • Proficiency in Python, R, Perl, or similar programming languages.
  • Experience with bioinformatics tools and high-throughput data analysis.
  • Ability to manage and integrate large biomedical datasets.
  • Strong statistical analysis and computational methods background.
  • U.S. citizenship and ability to obtain Public Trust clearance.

Responsibilities

  • Develop analytical workflows for large-scale biomedical datasets.
  • Apply computational methods to New Approach Methodologies (NAMs) research.
  • Maintain and enhance NIH databases through data integration support.
  • Build data pipelines using Python, R, or equivalent languages.
  • Develop user support materials and training resources.
  • Ensure materials comply with 508-compliance standards.
  • Present analytical results to both scientific and general audiences.

Benefits

  • 401(k) matching
  • Health insurance
  • Paid time off
  • Flexible remote work options.
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:

  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


Flexible work from home options available.

Compensation: $110,000.00 - $115,000.00 per year

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