Research Imaging Analyst

University Of Nebraska Medical Center; Omaha (NE); On-site; USD 65,000 - 90,000; Full time

Job summary

The University of Nebraska Medical Center in Omaha, NE seeks a Research Coordinator to work in Dr. Wang’s Lab within Neurological Sciences.

You will coordinate clinical research projects, support from design through analysis, and ensure regulatory and protocol compliance while collaborating with a multidisciplinary team to advance patient care and outcomes. You will contribute to developing and applying AI, machine learning, and image segmentation techniques in medical imaging, leveraging your

Qualifications

• Bachelor’s degree or equivalent in a scientific or related field.
• At least 2 years of healthcare, laboratory, or clinical research experience.
• Experience with medical imaging toolboxes like FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d, SurfStat, NODDI, GIFT, CONN, GRETNA, SPSS.

Responsibilities

• Coordinate, develop, and conduct clinical research projects.
• Support full project lifecycle from design to analysis.
• Ensure regulatory and protocol compliance.

Skills

Communication skills

Independent work

Data management

Microsoft Office

Education

Bachelor's degree or equivalent in a scientific field

Tools

FreeSurfer

FSL

AFNI

SPM

ANTs

ITK

c3d

SurfStat

NODDI

GIFT

CONN

GRETNA

SPSS

Job description

Equal Employment Opportunity

UNMC is an Equal Employment Opportunity Employer, providing equal opportunity for protected veterans and individuals with disabilities.

Location

Omaha, NE

Requisition Number

Staff_14225

Department

Neurological Sciences

Business Unit

College of Medicine

Position Type

Full-Time Regular

Work Schedule

As directed by supervisor

Remote/Telecommuting

No remote/telecommuting opportunity

Position Summary

The position will work at Dr. WANG’s Lab in the Department of Neurological Sciences with the principal investigator and research team to coordinate, develop, and conduct clinical research projects aimed at improving patient health, disease treatment, and quality of life in individuals who are aging or have neurological, psychiatric, physiologic, or other medical disorders. The role involves assisting with clinical research projects from start to finish to support successful communication, coordination, regulatory and protocol compliance, and to work across a diverse, multidisciplinary team to meet project goals. The position is independent, responsible, accountable, self‑motivated, a strong communicator, and capable of completing detailed tasks accurately and with high quality. The role contributes to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science–based methods in medical imaging processing.

Responsibilities

• Coordinate, develop, and conduct clinical research projects.
• Support full project lifecycle from design to analysis.
• Ensure communication, coordination, regulatory and protocol compliance.
• Collaborate with a multidisciplinary team to achieve project goals.
• Develop and apply AI, machine learning, and image segmentation techniques for medical imaging.

Required Qualifications

• Bachelor’s degree or equivalent in a scientific or related field.
• At least 2 years of experience in healthcare, laboratory, or clinical research.
• Proficiency with medical imaging toolboxes/software such as FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d, SurfStat, NODDI, GIFT, CONN, GRETNA, SPSS, etc.
• Data management and/or data analysis experience in a medical setting.
• Proficiency in Microsoft Word and the Microsoft Office suite.
• Strong written and verbal communication skills; independent and accountable work style.

Preferred Qualifications

• Experience with deep learning, machine learning, and medical imaging processing.
• Programming experience in Python, MATLAB, SPSS, and Shell scripting.
• Experience working with Linux workstations.
• Excellent verbal and written communication skills.

Accommodations

Individuals who need accommodations during the online application or interview process may contact 402‑559‑4070 or [e-mail].