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Postdoctoral In Bayesian Statistics Jobs in Indiana

MMS

Study Design Statistician (US)

Zionsville, IN · On-site

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Indiana University

Postdoctoral Appointee

Bloomington, IN · On-site

$45K - $61K/yr

Joshua Huot in the Department of Anatomy, Cell Biology & Physiology at the Indiana University ... statistical software) required. Extensive knowledge and prior work with mammalian cell culture ...

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Postdoctoral In Bayesian Statistics information

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Postdoctoral In Bayesian Statistics jobs near you

EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Indiana University Academic Positions

Kokomo, IN

$42K - $58K/yr

Other

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

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