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Postdoctoral In Bayesian Statistics Jobs in Minnesota

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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 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.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Minnesota?

For Postdoctoral In Bayesian Statistics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Minnesota look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Minnesota are:

What cities in Minnesota are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities in Minnesota with the most Postdoctoral In Bayesian Statistics job openings:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Minnesota as of September 2026, with employment types broken down into 2% Internship, 78% Full Time, 19% Part Time, and 1% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Research Fellow - Neurology - Cousin lab

Rochester, MN • On-site

Mayo Clinic
Hospitals • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz


Job description


The Cousin Lab at Mayo Clinic is seeking a postdoctoral fellow will contribute to a growing rare disease therapeutics program with an initial emphasis on POLR2A-related disorders. This work will also support broader efforts in the lab, including genetic forms of ALS and other monogenic neurologic conditions. Projects may include iPSC-derived neural models, variant-mechanism studies, RNA-targeted therapies, genome editing, sequencing-based biomarkers, and collaboration with Mayo Clinic precision medicine and N-of-1 therapeutic programs, core facilities, and external academic partners.
The Cousin Lab at Mayo Clinic develops mechanism-guided, gene-targeted therapeutic strategies for rare neurogenetic diseases. Our work integrates clinical genetics, patient-derived biospecimens, functional genomics, iPSC-based disease modeling, preclinical therapeutic testing, and clinical translation.
Position Overview
The fellow will lead experimental and analytical components of translational rare disease projects. The role includes developing and characterizing patient-derived and engineered cell models; defining variant effects and disease mechanisms; designing and evaluating RNA-targeted and gene-editing therapeutic strategies; and integrating functional, genomic, and clinical data to prioritize treatment approaches. The position involves substantial wet-lab research, quantitative data analysis, manuscript and grant preparation, and cross-disciplinary collaboration.
The fellow will join a collaborative Mayo Clinic environment with access to clinical expertise, core facilities, genomic and sequencing resources, translational infrastructure, and multi-institutional rare disease networks. This position offers the opportunity to develop an independent research niche at the interface of rare disease biology, human neural modeling, and targeted therapeutic development; publish first-author manuscripts; present at national and international meetings; and pursue external fellowship or career-development funding.
Key Responsibilities
  • Disease Modeling & Assay Development: Develop and characterize patient-derived and engineered disease models, including fibroblasts, iPSCs, isogenic controls, iPSC-derived neural cell types, and organoid or multicellular systems.
  • Mechanistic & Functional Studies: Design and execute molecular, cellular, imaging, electrophysiologic, and functional genomics assays to define variant effects, disease mechanisms, cellular phenotypes, biomarkers, and therapeutic response.
  • Therapeutic Development: Develop and evaluate RNA-targeted and gene-editing strategies, including ASO/siRNA, allele-selective or splice-modifying approaches, CRISPR/base-editing platforms, delivery systems, and target-engagement or rescue assays.
  • Genomic Data Integration: Integrate variant interpretation, sequencing data, and functional readouts to prioritize therapeutic strategies and evaluate loss-of-function, dominant-negative, allele-specific, and related mechanisms.
  • Collaboration & Translation: Coordinate with the PI, clinicians, partners, core facilities, biobanks, and external collaborators to align patient samples, disease models, assays, and preclinical workflows.
  • Scientific Communication & Mentorship: Manage projects with rigor and reproducibility; prepare figures, reports, manuscripts, presentations, and grant/fellowship applications; and contribute to mentoring junior team members.

Qualifications
  • Education: Ph.D., M.D./Ph.D., or equivalent doctoral degree in neuroscience, genetics/genomics, molecular or cell biology, stem cell biology, biomedical engineering, pharmacology, RNA biology, bioengineering, or a related field.
  • Research Expertise: Demonstrated productivity in cell-based disease modeling, molecular biology, functional genomics, therapeutic development, neurogenetics, or rare disease biology.
  • Technical Skills: Strong wet-lab skills in aseptic cell culture, molecular biology, assay development, sequencing workflows, microscopy/imaging, and experimental documentation.
  • Quantitative & Analytical Skills: Ability to analyze, interpret, and communicate complex data; familiarity with Prism, R, Python, or related statistical and visualization tools is helpful.
  • Professional Skills: Excellent organization, independence, attention to detail, and communication skills, with the ability to thrive in a collaborative translational research environment.

Experience in one or more of the following areas is preferred:
  • iPSC & Neural Models: Experience with human iPSC culture, genome-edited/isogenic lines, neural differentiation, neurons, glia, organoids, or related iPSC-derived neural models.
  • Therapeutic Platforms: Experience with RNA-targeted therapeutic development, genome engineering, or delivery platforms, including ASOs, siRNA, CRISPR/Cas, base or prime editing, AAV, or LNPs.
  • Rare Disease Translation: Experience with rare genetic, neurodevelopmental, or neuromuscular disease models; patient-derived biospecimens; variant interpretation; genotype-phenotype analysis; or individualized/N-of-1 therapeutic approaches.
  • Genomics & Biomarkers: Experience with RNA-seq, long-read sequencing, phasing/haplotype analysis, single-cell or multi-omic workflows, biomarker discovery, bioinformatics, or high-content/high-throughput screening.
  • Scientific Leadership: Experience in translational or preclinical research, collaborative project management, manuscript preparation, grant writing, and mentoring.

Candidates should submit a CV, a brief cover letter describing research interests and relevant experience and contact information for 2-3 references.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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About Mayo Clinic

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Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919