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Postdoctoral In Bayesian Statistics Jobs in Loretto, MN

... In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

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Postdoctoral In Bayesian Statistics information

See Loretto, MN salary details

$25.8K

$61K

$86.2K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for postdoctoral in bayesian statistics in Loretto, MN is $60,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $68,700.00 per year, depending on experience, location, and employer.

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 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.

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.

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Loretto, MN as of September 2026, with employment types broken down into 2% Internship, 79% Full Time, 18% Part Time, and 1% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $60,953 per year, or $29.3 per hour.

Post-Doctoral Associate

Minneapolis, MN • Hybrid

University of Minnesota
Education • 10K+ employees

$63K/yr

Full-time

Medical, Dental, Life

Re-posted 20 hours ago


Job description

About the Job
 

The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for a Post-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/.
The successful candidate will work with Dr. Thierry Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve the prediction power of clinical outcomes. Domains of applications may include cancer and cardiovascular diseases, and neurodevelopment disorders. The post-doc will also work on software development (in R, or in Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts.
Duration: This appointment is for 1-2 years, with a possible extension to year 3 depending on satisfactory performance and funding availability.
Starting Date: Negotiable. Position will remain open until filled.
Annual Salary: Based on NIH NRSA postdoctoral stipend levels.
Postdoc No Experience: $63,480
Postdoc 1 year of Experience:  $63,900
Postdoc 2 years of Experience: $64,380
Work Arrangements: The University of Minnesota endorses a Work. With Flexibility. and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. They are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview. 
Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank. 
Sponsorship: This position is not eligible for H-1B visa sponsorship.
 

Qualifications
 

Qualifications
Required Qualifications: A PhD degree in Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required.
Experience in Bayesian high-dimensional data analysis is highly preferred.

About the Department
 

About the Department

The University of Minnesota School of Public Health (SPH) is Minnesota's only school of public health, committed to improving the health and well-being of communities worldwide. Through innovative research, learning, and concrete action, we tackle today's biggest health challenges. SPH includes four academic divisions: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management.

Ranked nationally by the U.S. News & World Report as the #6 public school of public health, SPH is home to approximately 1,000 students, 130 faculty, and 400 staff across 25 internationally recognized centers. Our academic excellence is highlighted by our #3-ranked Master of Healthcare Administration (MHA) and #9-ranked Biostatistics programs.

Pay and Benefits
 

Pay Range: Annual Salary: Based on NIH NRSA postdoctoral stipend levels; depending on education/qualifications/experience
Postdoc No Experience: $63,480
Postdoc 1 year of Experience:  $63,900
Postdoc 2 years of Experience: $64,380

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Please note: At this time, the Universitys employment site is limited in how it collects applicant demographic information. Applicants are encouraged to provide their pronouns and/or preferred name within their attached application materials.

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Must contain the following documents. 

  • Cover letter
  • Curriculum vitae 
  • Graduate transcripts 
  • Contact information of at least two referees.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.