ZipRecruiter

Log In

1

Nih Data Science Jobs in Indiana (NOW HIRING)

previous page

Showing results 41-54

All JobsNih Data Science JobsNih Data Science Jobs in Indiana

Nih Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do nih data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nih data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is an NIH Data Science?

An NIH Data Science job involves managing, analyzing, and interpreting complex biomedical and health data to support scientific research and policy decisions. Professionals in this field work with big data, machine learning, and computational tools to advance medical discoveries and improve public health outcomes. They may collaborate with researchers, develop data infrastructure, and ensure data privacy and security. These roles exist across various NIH institutes and centers, supporting data-driven decision-making in health sciences.

What are the key skills and qualifications needed to thrive in the NIH Data Science position?

To thrive as an NIH Data Science professional, you need a strong background in statistics, bioinformatics, and data analysis, typically supported by a degree in a related field such as computer science, mathematics, or public health. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of database management systems are crucial, and certifications in data science or informatics can be advantageous. Strong problem-solving abilities, teamwork, and effective communication skills set exceptional candidates apart. These competencies are vital for extracting meaningful insights from complex biomedical datasets, supporting impactful research, and collaborating across multidisciplinary teams at the NIH.

What does an NIH Data Science do?

Data Science professionals at the NIH often work on projects involving the cleaning, analysis, and interpretation of large-scale biomedical datasets to support research or public health initiatives. Daily work may include designing and implementing algorithms, developing predictive models, and visualizing results to make data-driven recommendations. Collaboration is frequent, with data scientists working alongside researchers, clinicians, and IT specialists to tackle complex scientific questions. Professionals in this role also stay updated with emerging analytical tools and methods, contributing to continuous improvement of research practices. This dynamic environment offers opportunities to advance scientific discovery and develop expertise in high-impact areas of biomedical research.

What are popular job titles related to Nih Data Science jobs in Indiana? For Nih Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Nih Data Science jobs in Indiana look for? The top searched job categories for Nih Data Science jobs in Indiana are:
Nih Data Science jobs near you
Infographic showing various Nih Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Indiana University Academic Positions

Bloomington, IN

$45K - $61K/yr

Full-time

Re-posted 6 days ago

Job description

Position Details
Title EBIO Postdoctoral Fellow positions in Infectious Disease Modeling Appointment Status Non-Tenure Track Department IU Bloomington Epidemiology and Biostatistics Location Bloomington Position Summary
The Department of Epidemiology and Biostatistics within the School of Public Health at Indiana University - Bloomington are inviting applications for one or multiple postdoctoral fellow positions in Infectious Disease Modeling.
Working under the direct supervision and mentorship of Dr. Marco Ajelli, the postdoctoral fellow will focus on applied infectious disease epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models, and building computational engines. The postdoctoral fellow will be hired for a one-year position with opportunity for renewal on a yearly basis assuming satisfactory performance. The positions include benefits and compensation congruent with NIH stipend levels. Applications will be reviewed on an ongoing basis, with full consideration for those applying by April 15, 2026, and evaluated via an expedited decision process. The appointment start date is negotiable on a case-by-case basis and could begin as early as May 15, 2026.
About us: Dr. Ajelli leads the Laboratory for Computational Epidemiology and Public Health (CEPH lab) at the Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington. The CEPH lab mission is to advance the understanding of infectious disease dynamics. While the immediate goal is excellence in scientific research and publication in high-impact journals, the ultimate mission of the lab is to provide the quantitative evidence to inform national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io.
Located on the flagship campus of the Indiana University System, IU School of Public HealthBloomington has over 200 faculty in five departments. Indiana University is classified as an R1-Highest Research Activity university, is a member of the prestigious Association of American Universities (AAU), and boasts numerous resources. IU School of Public HealthBloomington combines aspects of a traditional university campus with a strong teaching focus and the research infrastructure of a research-intensive institution.
Basic Qualifications
Qualifications: Candidates must have received a doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, or a related discipline) from an accredited educational institution by the start of appointment. Previous postdoc experience is not required. Computational proficiency is a core requirement: Candidates must be proficient in C or C++ or a track record of mastering multiple low-level and high-level programming languages (e.g., Python, R, Julia, Fortran).
Department Contact for Questions
Questions pertaining to the PeopleAdmin application procedure may be directed to dwarcher@iu.edu. Questions regarding the position may be directed to Marco Ajelli at majelli@iu.edu.
Additional Qualifications
Responsibilities: The postdoctoral fellow is expected to develop data-driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high-impact scientific publications. This position is designed as a launchpad for a tenure-track faculty career; as such, the postdoctoral fellow will lead at least one major project while contributing to the collaborative efforts of the lab, contribute to the writing of grant proposals and papers, and mentoring lab members. The work will primarily focus on respiratory infectious diseases (e.g., COVID-19, influenza, RSV) and mosquito-borne diseases but may pivot to public health emergencies.
Salary and Rank Commensurate with Experience Special Instructions
Application Procedure: Applicants must provide a CV, a statement of research interests, a cover letter detailing your fit for this position, and the contact information for three references. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/32436.
For Best Consideration Date 04/15/2026 Expected Start Date 05/15/2026 Posting Number IU-101513-2026

Apply