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Infectious Disease Modeling Jobs in Indiana (NOW HIRING)

Production Technician II (mid-level) Working Model: Fully Onsite Shift & Schedule: 1st shift, M-F ... Must immediately notify supervisor if affected by an infectious disease or open lesions on the body ...

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Infectious Disease Modeling information

What is infectious disease modeling?

An Infectious Disease Modeling job involves using mathematical and computational models to understand, predict, and control the spread of infectious diseases. Professionals in this field analyze data, simulate outbreaks, and assess the impact of public health interventions. They work with researchers, policymakers, and healthcare organizations to guide responses to epidemics and pandemics. This role typically requires expertise in epidemiology, statistics, and programming.

What are the key skills and qualifications needed to thrive in infectious disease modeling?

To thrive in Infectious Disease Modeling, a strong background in epidemiology, statistics, mathematics, and computer programming is essential, often complemented by an advanced degree in a related field. Proficiency with statistical software (such as R, Python, or MATLAB), data analysis tools, and modeling platforms like GLEAM or EpiModel is commonly required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex results to diverse audiences are valuable soft skills in this role. These competencies enable professionals to effectively design models, interpret data, and inform public health decisions during outbreaks.

What are the typical daily responsibilities of someone working in infectious disease modeling?

As an infectious disease modeler, your typical day may involve gathering and analyzing epidemiological data, developing and refining mathematical models, and running simulations to predict disease spread and assess intervention strategies. You will often collaborate with epidemiologists, public health officials, and data scientists to interpret model outputs and communicate findings to guide policy decisions. Additionally, your work may include preparing reports, presenting results to stakeholders, and staying current with the latest research and modeling techniques. Teamwork and adaptability are important since responsibilities can shift rapidly during outbreaks or in response to emerging health threats.

What job categories do people searching Infectious Disease Modeling jobs in Indiana look for? The top searched job categories for Infectious Disease Modeling jobs in Indiana are:
What cities in Indiana are hiring for Infectious Disease Modeling jobs? Cities in Indiana with the most Infectious Disease Modeling job openings:
Infographic showing various Infectious Disease Modeling job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Indiana University Academic Positions

Bloomington, IN

$45K - $61K/yr

Full-time

Re-posted 7 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