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Temporary Nih Data Science Jobs in Chicago, IL (NOW HIRING)

Gallagher

Data Engineer Associate - Contract

Rolling Meadows, IL · Remote

$115.20K - $138.30K/yr

This role partners with data engineers, data scientists, analysts, and application teams to deliver ... This is a Temp-To-Hire, W-2 position. We are not able to do 1099 or C2C. * It is a fully remote ...

Digitas

Senior Analyst, Data Governance

Chicago, IL · On-site

$54.91K - $86.50K/yr

Familiarity with data management; experience working with data dev, engineering and data science ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

The University of Chicago

Research Manager

Chicago, IL · On-site +1

... scientific development across multiple funded studies, including NIH-funded studies involving complex epidemiologic, clinical, and registry-linked data. The job leads and provides expertise to the ...

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$38.6K

$126.4K

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

As of May 28, 2026, the average yearly pay for temporary nih data science in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 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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