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Temporary Nih Data Science Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

$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 ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

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 ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

Responsibilities : • Architect and execute a comprehensive AI/ML strategy that aligns Axle's technical capabilities with the NIH Strategic Plan for Data Science (2025-2030). • Spearhead the ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Responsibilities : • Architect and execute a comprehensive AI/ML strategy that aligns Axle's technical capabilities with the NIH Strategic Plan for Data Science (2025-2030). • Define the ...

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

As of Jun 21, 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 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 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 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.

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Temporary Nih Data Science jobs near you
Infographic showing various Temporary Nih Data Science job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 32% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Bioinformatics/Data Scientist

Axle

Frederick, MD

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

(ID: 2025-0696)


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview

The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.

Responsibilities

  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

Required Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.

Preferred Qualifications

  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

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Salary Range
$105,000—$120,000 USD