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Scientific Data Analyst Jobs (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

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 ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

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 ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

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 ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be able to understand ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site

$85K - $115K/yr

Scientific Data Analyst Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Atlanta, GA Alpha Omega is seeking a qualified looking for a Scientific Data ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

Scientific Data Analyst Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Atlanta, GA Alpha Omega is seeking a qualified looking for a Scientific Data ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Develop machine learning and AI solutions for analysis of biological data in close collaboration with diverse teams of scientists * Train scientists and research software engineers in the use of the ...

ENSCO, Inc.

Junior Scientific Data Analyst

Melbourne, FL · On-site

$65K - $108K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be ...

ENSCO, Inc.

Junior Scientific Data Analyst

Melbourne, FL · On-site

$65K - $108K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets and all source analysis. The successful candidate must be ...

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How much do scientific data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for scientific data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a scientific data analyst?

Scientific data analysts are professionals who collect, process, and interpret large sets of scientific data to help researchers, organizations, or institutions make data-driven decisions. They often use statistical tools, programming languages, and data visualization techniques to analyze complex datasets from experiments or studies. Their insights support scientific research, improve processes, and enable more accurate results in fields such as biology, chemistry, environmental science, and healthcare.

How does a scientific data analyst typically collaborate with research teams and subject matter experts?

Scientific Data Analysts frequently work alongside researchers, lab technicians, and subject matter experts to interpret complex data sets and extract actionable insights. Collaboration often involves participating in project meetings to understand experimental goals, sharing preliminary analyses, and refining data collection or processing methods based on feedback. Strong communication skills are essential, as analysts must translate statistical findings into clear, meaningful recommendations for non-technical stakeholders. This teamwork ensures that data-driven decisions are closely aligned with scientific objectives and enhances the overall quality of research outcomes.

What are the key skills and qualifications needed to thrive as a scientific data analyst, and why are they important?

To thrive as a Scientific Data Analyst, you need a background in statistics, data science, and scientific research, usually supported by a degree in a quantitative field. Proficiency with statistical software (such as R, Python, or SAS), data visualization tools, and experience with databases are commonly required, along with knowledge of industry-specific data standards. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These skills and qualities ensure accurate data interpretation, reliable research outcomes, and meaningful contributions to scientific projects.
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Scientific Data Analyst jobs near you
Infographic showing various Scientific Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Scientific Data Analyst

Arlington, VA • On-site

IMAGINEEER LLC
See more jobs at IMAGINEEER LLCexternal

$90 - $120/hr

Other

Medical, Retirement, PTO

Re-posted 19 days ago

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
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.

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