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Post Doctoral Fellow

Job in Tulsa, Tulsa County, Oklahoma, 74145, USA
Listing for: Oklahoma State University
Full Time position
Listed on 2025-12-31
Job specializations:
  • Healthcare
    Data Scientist
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below

Join to apply for the Post Doctoral Fellow role at Oklahoma State University

Campus: OSU-Center for Health Sciences

Location:

OSU Hardesty Center for Clinical Research and Neuroscience, Tulsa, Oklahoma

Contact:
Jamie Childers, Jamie.

Childers

Work Schedule:

Monday – Friday, 8‑hour shifts
Appointment Length:
Regular, Continuous / Until Further Notice
Hiring Range: $ – $ Salary

About This Position

The Oklahoma State University Center for Health Sciences (OSU‑CHS) invites applications for a Postdoctoral Fellow to join a nationally recognized research team investigating the effects of prenatal exposure to GLP‑1 receptor agonist (GLP‑1RA) medications. The position is based at the OSU Hardesty Center for Clinical Research and Neuroscience in Tulsa, Oklahoma— a growing hub for translational neuroscience and advanced biomedical imaging.

Position Overview

The successful candidate will play a central role in the design, leadership, collection, and analysis of prenatal/fetal and infant MRI/fMRI data. This project, a collaboration between the labs of Drs. Julie Croff (maternal and child health) and Kyle Simmons (neuroimaging and GLP‑1RAs), integrates neuroimaging, clinical, and behavioral approaches to better understand how prenatal exposure to GLP‑1RA medications may influence early neurodevelopment.

Candidates must have strong, demonstrated experience in neuroimaging analysis to be considered for this position.

Key Responsibilities
  • Lead and assist in MRI/fMRI data acquisition, with emphasis on prenatal and early infant imaging.
  • Conduct neuroimaging data preprocessing, quality control, and statistical analyses using established pipelines (AFNI, FSL, SPM, or similar).
  • Develop, optimize, and maintain analysis pipelines and shell scripts for large, complex imaging datasets.
  • Contribute to manuscript preparation, conference presentations, and grant submissions.
  • Collaborate closely with an interdisciplinary team of neuroscientists, clinicians, and imaging specialists at OSU and partner institutions.
Required Qualifications
  • Ph.D./Ed.D. in neuroscience, biomedical engineering, psychology, physiology, or a related field.
  • Ph.D. in the field listed above, conferred on or before the agreed start date.
Skills, Proficiencies, and/or Knowledge
  • Interest in neurodevelopment and/or early brain maturation.
  • Demonstrated experience with MRI/fMRI data acquisition.
  • Proven ability to independently run MRI sessions, including setup, participant screening, monitoring, and adherence to safety and quality control protocols.
  • Demonstrated expertise with image pre‑processing and quantitative analysis of structural and functional MRI data.
  • Proficiency with Unix/Linux environments, shell scripting, and neuroimaging software (AFNI, FSL, SPM, etc.).
  • Strong programming or data analysis skills in Python, MATLAB, or R.
  • Excellent written and verbal communication skills, and a record of scientific writing and publication.
  • Ability to work independently and collaboratively in an interdisciplinary research environment.
Preferred Qualifications
  • Experience with structural or functional MRI in prenatal, infant, or pediatric populations, including familiarity with developmental and motion‑related challenges.
  • Experience working with Siemens MRI systems, including sequence optimization, parameter adjustment, and quality assurance for neurodevelopmental imaging.
  • Demonstrated experience with motion correction strategies and other advanced preprocessing techniques for perinatal or infant imaging.
  • Familiarity with longitudinal neuroimaging study design and analysis, including strategies for tracking developmental trajectories and managing repeated measures data.
  • Working knowledge of machine learning or advanced statistical modeling approaches for neuroimaging data.
  • Evidence of publication productivity and engagement in collaborative, interdisciplinary research environments.
Seniority Level

Internship

Employment Type

Full‑time

Job Function

Research, Analyst, and Information Technology

Industries

Higher Education

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