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Temporary Nih Data Science Jobs (NOW HIRING)

RICEFW Technologies, Inc.

Data Architect

$65.25 - $84/hr

Bachelor's degree in Computer Science, Computer Engineering, Data Science, Management Information ... Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of ...

Rose International

Data Architect

Baton Rouge, LA · Hybrid

$50 - $64.25/hr

Temporary FT/PT: Full-Time Estimated Duration (In months): 13 Min Hourly Rate($): 75.00 Max Hourly ... Prior experience with public health agencies (e.g., CDC, NIH, or State Departments of Health) (2 ...

Cape Fox Corporation

Scientist - NIH VRC

Bethesda, MD · On-site

$53.33/hr

Job Title Scientist - NIH VRC Cape Fox Facilities Services is seeking an experienced Scientist ... Determine scientific rigor in assessing own data and that of others, by providing detailed ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Architect and execute a comprehensive AI/ML strategy that aligns Axle's technical capabilities with the NIH Strategic Plan for Data Science (2025-2030). You will define the long-term vision for ...

WSSC Water

Data Scientist

Laurel, MD

... temporary) Work Schedule Monday - Friday 8:00 AM - 5:00 PM Position Location Laurel Position ... Leads and manages data science projects from inception to deployment, ensuring alignment with ...

Serigor, Inc.

Data Architect (Remote)

$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 ...

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

As of Jun 1, 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:
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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 Architect

Data Architect

RICEFW Technologies, Inc.

Remote

$65.25 - $84/hr

Contractor

Posted 10 days ago

Job description

The scope of the proposed services will include the following:
  • Design the vision and blueprint of an organization's data framework.
  • Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures.
  • Data modeling and design, including software development and database administration.

Expertise and/or relevant experience in the following areas are mandatory:
  • Ten (10) plus years professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture.
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology.

Expertise and/or relevant experience in the following areas are desirable but not mandatory:
  • Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.

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