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Research Assistant/Data Analyst

University of Kansas Medical Center
Kansas City, KS Full Time
POSTED ON 4/15/2024 CLOSED ON 5/13/2024

What are the responsibilities and job description for the Research Assistant/Data Analyst position at University of Kansas Medical Center?

Department:
SOM KC Neurology - Neuroimaging
-----
Neuroimaging Research Assistants

Position Title:
Research Assistant/Data Analyst

Job Family Group:
Professional Staff

Job Description Summary:
This position will support collaborations with the KU ADRC. The ADRC measures cognition, disease progression, and a variety of blood and brain biomarkers every year on a group of nearly 400 older adults in order to understand and identify early markers of Alzheimer's disease and dementia. By doing this, we hope to one day prevent future disability. This project focuses on analyzing the magnetic resonance imaging (MRI) and positron emission tomography (PET) brain images we get from those older adults. We are measuring changes in brain structure, function, and pathology known to be related to dementia. Your work as a research assistant would be to help with imaging data entry, data analysis, and data management for the project.

This position will also support collaborations with the KUMC Polycystic Kidney Disease (PKD) Center. The PKD Center measures kidney volume and other biomarkers related to the progression of PKD every two years on a group of nearly 200 patients. We hope that by collecting these biomarkers, we will gain a better understanding of how PKD develops over time, and how the different biomarkers relate to one another. Your work as a research assistant would be to help with imaging data entry, data analysis, and data management for the project.

This position will also support other PROMUS Lab and HBIC studies as needed, and as time allows.

We're looking for someone who is interested in the brain and how it works, or someone who is interested in computer-based image analysis. You don't have to have a science degree to qualify. You will be great for this position if you have good attention to detail and like to work on your own. It's best if you like working with numbers, computers, and learning new software. Don't worry if you haven't done anything like this before. We can teach you everything you need to know. But if you really don't like working with computers, this might not be the right position for you.

Job Description:
Required Qualifications:
Four years of relevant work experience, a bachelor's degree, or a combination of years of work experience and college education
Analytical and meticulous, with strong problem solving, communication and writing skills
Interest in the brain and brain function or computer-based image analysis
Strong organizational and interpersonal skills
Attention to detail

Preferred Qualifications:
Bachelor's degree in Psychology, Neuroscience, Computer Science or related discipline
Experience in research and clinical studies in human subjects, including coding experimental stimulus paradigms in E-Prime, Presentation, PsychoPy, or other software
General computing experience including familiarity working with UNIX command line (Mac/Linux), and programming in MATLAB, R, Python, or other language
Experience with MR imaging data analysis (AFNI, SPM, FSL, or other tools)
Knowledge of statistics, and experience with statistical analysis software (SPSS, SAS, R, or similar)

Job Duties Outlined:
Data entry, transferring information accurately into computer-based forms and Excel spreadsheets
Data management, organizing new electronic data into proper folders, making sure data file names are correct and data are complete
Data analysis, viewing imaging data, checking for good data quality, running analysis scripts
Documentation, keeping detailed and accurate notes about the tasks you complete, summarizing methods and results, helping with reports and manuscripts, making tables and figures
Attend project progress meetings with the supervisor and study teams
Assist with research design and implementation
Any other duties as might be assigned from time to time
Be a consistent, dependable and committed team member

Required Documents:
Resume/CV
Cover Letter

Employee Type:
Regular

Time Type:
Full time

Rate Type:
Hourly

Pay Range:
$20.60 - $30.90
Minimum
$20.60
Midpoint
$25.75
Maximum
$30.90

Application Instructions:
To learn more and apply online, please visit https://kumc.wd5.myworkdayjobs.com/en-US/kumc-jobs/job/Kansas-City-Metro-Area/Research-Assistant-Data-Analyst_JR004633 or go to https://careers.kumc.edu/ and search for position number JR004633.

Applications must be submitted directly through the KU Medical Center website to be considered for this position. Any applications submitted via email or this website will NOT be reviewed or considered.

About KU Medical Center:
The University of Kansas Medical Centers mission is to educate exceptional health care professionals through a full range of undergraduate, graduate, professional, postdoctoral and continuing education programs in the schools of Medicine, Nursing and Health Professions. KU Medical Center also advances the health sciences through world-class research programs; provides compassionate and state-of-the-art patient care in an academic medical center environment; and works with communities in every Kansas county to improve the health of Kansans. Learn more at www.kumc.edu .

Benefits:
KUMC offers a range of great benefits that support employees and eligible family members. Our health insurance benefits begin on hire date and KUMC offers other exciting benefits such as paid parental leave, generous employer retirement contributions and other resources to improve health and well-being. For more information, please visit https://www.kumc.edu/human-resources/benefits.html

Can you also include the following EEO statement on all of our advertising locations: KU is an EO/AAE. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, genetic information or protected Veteran status. http://policy.ku.edu/IOA/nondiscrimination

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