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Postdoctoral In Bayesian Statistics Jobs in Iowa City, IA

The Clauss Lab is based in the Division of Child and Adolescent Psychiatry, Department of ... Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience ...

The Clauss Lab is based in the Division of Child and Adolescent Psychiatry, Department of ... Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience ...

Postdoctoral In Bayesian Statistics information

See Iowa City, IA salary details

$24.5K

$57.8K

$81.7K

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

As of Aug 26, 2026, the average yearly pay for postdoctoral in bayesian statistics in Iowa City, IA is $57,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $65,100.00 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.

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Iowa City, IA look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Iowa City, IA are:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Iowa City, IA as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $57,752 per year, or $27.8 per hour.

POSTDOCTORAL SCHOLAR

University of Iowa

Iowa City, IA • On-site

$63K/yr

Full-time, Part-time

This job post has expired 3 days ago. Applications are no longer accepted.


University Of Iowa rating

6.9

Company rating: 6.9 out of 10

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Job description

POSTDOCTORAL SCHOLARRequisition # 4568Position Basics Advertising Ends on: Tuesday, August 18th, 2026 Advertising Started on: Tuesday, March 31st, 2026 College: Carver College of Medicine Department: Psychiatry Salary Salary: $63,480.00 to Commensurate Position Details Full/Part Time Status: Full Time Percent Time: 100% Position Description:

The Clauss Laboratory is seeking a highly motivated postdoctoral scholar to join a multidisciplinary research program focused on understanding risk and resilience for psychiatric illness across development using multimodal human neuroscience approaches. The lab integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in youth and young adults.

A major focus of the lab is the development of state-of-the-art longitudinal precision functional mapping approaches, including repeated neuroimaging and intensive phenotyping, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize the dynamics of psychiatric symptoms and brain function.

The postdoctoral scholar will have opportunities to work with multiple complementary datasets, including large-scale developmental neuroimaging cohorts (e.g., ABCD, AMP-SCZ) as well as an existing weekly longitudinal precision functional mapping (PFM) dataset that integrates repeated MRI, behavioral assessments, and symptom monitoring within individuals. Ongoing work is expanding these approaches to psychiatric populations, enabling the study of how brain network dynamics relate to emerging symptoms and functional outcomes.

The scholar will join a highly collaborative research environment and will work closely with investigators across psychiatry, neuroscience, engineering, data science, and neuroimaging methods. The position provides opportunities to collaborate across multiple research groups and institutions and to contribute to large-scale longitudinal datasets and emerging multimodal analytic approaches.

A major goal of the fellowship is career development. The postdoctoral scholar will receive structured mentorship and will be encouraged and supported to develop independent projects and apply for external funding (e.g., NIH K-awards and foundation grants).

The Clauss Lab is based in the Division of Child and Adolescent Psychiatry, Department of Psychiatry at the University of Iowa Carver College of Medicine, within a vibrant and collaborative neuroscience research community.

Iowa City is a dynamic and family-friendly college town consistently ranked among the most livable communities in the United States. The area offers excellent schools, abundant outdoor recreation, and a vibrant arts and cultural scene. Iowa City has a unique intellectual and cultural environment while maintaining a high quality of life and affordable cost of living. To learn more about the community visit: https://greateriowacity.com/build/area-advantages/

The position will begin in Fall 2026, with flexibility in start date based on candidate availability. The initial appointment is for 1 year, with funding available for up to 2-3 years contingent on performance. The position is designed to support the fellow in developing an independent research program (e.g., K99/R00 or equivalent).

Key Areas of Responsibility

* Lead and coordinate human subjects research studies with oversight by Dr. Clauss and collaborators involving neuroimaging, sleep measurement, digital phenotyping, and clinical assessment

* Analyze multimodal datasets including neuroimaging, behavioral, wearable, clinical, and longitudinal data

* Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience data

* Contribute to projects integrating clinical cohorts and electronic health record (EHR) data to study psychiatric risk and outcomes

* Prepare manuscripts, conference presentations, and grant applications

* Mentor research assistants, students, and trainees

* Collaborate with interdisciplinary teams across psychiatry, neuroscience, engineering, and data science

Mentorship and Career Development
The postdoctoral scholar will receive individualized mentorship and career development support, including guidance in manuscript preparation, grant writing, and development of an independent research program. Fellows are encouraged to pursue independent funding opportunities and to lead projects aligned with their own research interests.

Education Requirement:

* PhD, MD/PhD, or equivalent doctoral degree in neuroscience, psychology, biomedical engineering, psychiatry, computational neuroscience, or a related field

Required Qualifications:

* Experience conducting human subjects research

* Strong quantitative and data analysis skills, including experience with R, Python, MATLAB

* Excellent written and verbal communication skills

* Strong organizational and interpersonal skills and ability to work collaboratively in a multidisciplinary team

* Able to work and learn independently and motivated to contribute to the wider research mission of the lab

Desirable Qualifications:

* Graduate experience with neuroimaging analysis (e.g., fMRI, structural MRI, functional connectivity)

* Experience with longitudinal or developmental datasets

* Experience with digital phenotyping, wearable sensors, or sleep research

* Experience with clinical or behavioral phenotyping, including structured psychiatric assessments

* Interest or experience in electronic health record (EHR) analysis, clinical risk prediction, or large-scale health datasets

* Interest in developing independent research projects and pursuing external funding

Online Application Required Documents Curriculum Vita Letters of Interest

To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information.

Contact Information Contact: Lori S Posey Cmed-Psychiatry Pappajohn Pavilion 140 Hawkins Drive JPP Iowa City, IA 52242

The University of Iowa is an equal opportunity employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, or associational preferences.

Persons with disabilities may contact University Human Resources/Faculty and Staff Disability Services, (319) 335-2660 or fsds@uiowa.edu, to inquire or discuss accommodation needs.

Prospective employees may review the University Campus Security Policy and the latest annual crime statistics by contacting the Department of Public Safety at 319/335-5022.


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