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Temporary Nih Data Science Jobs (NOW HIRING)

Scientific Data Analyst

Arlington, VA ยท On-site +1

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

Scientific Data Analyst

Arlington, VA ยท On-site

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

Data Manager (Full-Time)

New York, NY ยท On-site

$60K - $70K/yr

... science research. * Proficiency with data management and analysis tools (e.g., REDCap, Qualtrics, STATA, SAS, R, or Python). * Familiarity with NIH Data Management and Sharing requirements and best ...

... and data science applications to research centers and healthcare organizations nationally and ... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ...

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ...

Bioinformatics/Data Scientist

Frederick, MD ยท On-site

$105K - $120K/yr

With experts in biomedical science, software engineering, and program management, we focus on ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

With experts in biomedical science, software engineering, and program management, we focus on ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

With experts in biomedical science, software engineering, and program management, we focus on ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

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Temporary Nih Data Science information

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$37.5K

$122.7K

$196.5K

How much do temporary nih data science jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary nih data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary NIH Data Scientist, and why are they important?

To excel as a Temporary NIH Data Scientist, you generally need a background in data analysis, statistics, and programming, often supported by a degree in a quantitative field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, along with experience using data management systems and possibly NIH-specific software, is typical. Strong problem-solving abilities, attention to detail, and effective communication skills help candidates collaborate on multidisciplinary research teams. These competencies ensure accurate analysis and interpretation of biomedical data, which is critical for advancing scientific research and supporting NIH initiatives.

What are some common challenges faced by professionals in a Temporary NIH Data Science role?

Professionals in a Temporary NIH Data Science role often navigate challenges such as quickly adapting to new research projects, managing large and complex datasets, and collaborating with multidisciplinary teams under tight deadlines. Since these positions are typically project-based, balancing multiple priorities and learning new analytical tools or methods on the fly is common. Effective communication with researchers and principal investigators is essential, especially when translating complex data insights into actionable recommendations. Embracing flexibility and continuous learning can help overcome these challenges and make valuable contributions during the assignment.

What are Temporary NIH Data Science jobs?

Temporary NIH Data Science jobs are short-term positions at the National Institutes of Health (NIH) that focus on analyzing and interpreting complex biomedical data. These roles may involve tasks such as developing algorithms, managing datasets, or supporting research projects with statistical and computational expertise. Temporary positions can include internships, fellowships, or contract roles and are ideal for gaining experience in biomedical data science while contributing to important health research initiatives. These jobs often require skills in programming, statistics, and data management, and provide valuable exposure to cutting-edge research in a collaborative environment.

What is the difference between Temporary Nih Data Science vs Temporary Nih Data Analyst?

AspectTemporary Nih Data ScienceTemporary Nih Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; often includes certifications in data analysis or machine learningBachelor's in Data Analysis, Statistics, or related fields; certifications in data tools are common
Work EnvironmentCollaborative teams, research labs, or project-based settings within healthcare or research institutionsOffice settings, healthcare facilities, or research organizations focusing on data reporting and insights
Employer & Industry UsageUsed in research institutions, government agencies, and healthcare organizations for complex data modelingCommon in healthcare, finance, and business sectors for data reporting and trend analysis

Temporary Nih Data Science roles focus on advanced data modeling, machine learning, and research-driven projects, requiring specialized skills. Temporary Nih Data Analyst positions emphasize data reporting, visualization, and basic analysis. Both roles are essential in research and healthcare settings but differ in complexity and technical depth.

More about Temporary Nih Data Science jobs
What cities are hiring for Temporary Nih Data Science jobs? Cities with the most Temporary Nih Data Science job openings:
What are the most commonly searched types of Nih Data Science jobs? The most popular types of Nih Data Science jobs are:
What states have the most Temporary Nih Data Science jobs? States with the most job openings for Temporary Nih Data Science jobs include:
Infographic showing various Temporary Nih Data Science job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA โ€ข On-site, Remote

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 20 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 Applications (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.