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Temporary Nih Data Science Jobs (NOW HIRING)

RICEFW Technologies, Inc.

Data Architect

$65.25 - $84/hr

... Science, Management Information Systems, or Information Technology. * Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data ...

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ...

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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.

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What cities are hiring for Temporary Nih Data Science jobs? Cities with the most Temporary Nih Data Science job openings:
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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 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.
Data Scientist

Data Scientist

Xavier University of Louisiana

New Orleans, LA • On-site

Full-time

Posted 6 days ago

Job description

Posting Details
Posting Summary
Position Title
Data Scientist
FLSA
Exempt
Department
Department Of Chemistry
Job Summary
Xavier University of Louisiana is accepting applications for a Data Scientist. The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans. AA/EOE
Minimum Qualifications
Requirements:
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Preferred Qualifications
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Special Requirements Summary
Work Hours
Monday thru Friday 8:00am until 5:00pm
KSA's
Knowledge, Education, Experience, and Proficiencies
PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/ Bioinformatics/Public Health or other quantitative sciences
Essential Duties and Responsibilities
Essential Duties and Responsibilities Description
The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans.
Posting Detail Information
Posting Number
S368P
Number of Vacancies
1
Desired Start Date
03/04/2024
Position End Date (if temporary)
Posting Date
02/06/2024
Application Review Date
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Attach online only your resume, cover letter, transcripts and contact information for 3 references.
Quicklink for Posting
https://jobs.xula.edu/postings/2990
About Xavier
About Xavier
Founded in 1925 by Saint Katharine Drexel and the Sisters of the Blessed Sacrament, Xavier is Catholic and historically Black. Located in New Orleans, the ultimate purpose of the University is to contribute to the promotion of a more just and humane society by preparing its students to assume roles of leadership and service in a global society. This preparation takes place in a diverse learning and teaching environment that incorporates all relevant educational means, including research and community service.

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