Postdoctoral Fellow/Research Scientist - JR008349
Company:
University of Kansas Medical Center
Job Location:
Category:
Diagnostic Imaging and Radiography
Type:
Full-Time
Postdoctoral Fellow/Research Scientist - Radiology
Department:
SOM KC Radiology
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Levendovszky Lab
Position Title:
Postdoctoral Fellow/Research Scientist - Radiology
Job Family Group:
Professional Staff
Job Description Summary:
Department of Radiology has an immediate opening for a full time Postdoctoral Fellow/Research Scientist to join a strong magnetic resonance imaging (MRI) research lab focused on the cerebrovascular pathology and its interaction with glymphatic biology for the purpose of better understanding neurobiology of Alzheimer's disease and related dementias. As a member of the Cerebrovascular Imaging and Analytics (CInA) lab, the candidate will be involved in developing purposeful, scientifically sound, imaging and analysis approaches for an accurate representation of brain physiology. The lab focuses on identifying the best practices in selecting imaging parameters that increase sensitivity to, and specificity of the physiological signal being measured. Instead of a generalized pipeline that works for all, we tailor processing and analysis steps for each study based on the acquisition, image quality, and the question to be answered. For this purpose, we strategically collaborate with neurologists, psychologists, radiologists, physicists, bioengineers, and biostatisticians. This multi-year position will report to CInA Director, Dr. Swati Rane Levendovszky (slevendovszky@kumc.edu).
Job Description:
Job Duties Outlined:
Research Overview: Design and conduct experiments and interpret data under the mentorship of the Principal Investigator (PI).
- Work independently and collaboratively on research projects.
- Perform preprocessing and pipelining of functional and structural MRI and DTI data; prepare and analyze data for presentation; work at the command-line in for neuroimaging processing and analysis (FSL, AFNI, in-house software tools).
- Assist with modifying computer scripts dedicated to analysis tasks.
- Prepare manuscripts and assist in grant preparation.
- Attend and participate in IBIC meetings.
- Maintain a current Laboratory Notebook, documenting all calculations, work, experiments, and other pertinent research information.
- May train and guide other analysts and technicians requiring assistance with analysis or analysis tools.
- Read literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation.
- Dissemination of studies: Interact on a regular basis with their PI, faculty mentor and members of the laboratory to discuss experimental design and interpretation of results.
- Present research aims and findings at department seminars and at local and national scientific meetings. Write and publish their results as first author in abstracts, manuscripts, and posters.
Self/Team Development: Provide innovative, visionary and collaborative initiative; continue to grow your own skill set necessary in your position; contribute to a team atmosphere in working with all internal/external customers.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications:
- Education: PhD with experience in neuroimaging research OR equivalent education/experience.
- Work Experience:
- Experience applying MRI methods to neuroscience; familiarity with a command line environment (e.g., UNIX, MATLAB, Python, R).
- Experience applying MRI methods to neuroscience; familiarity with a command line environment (e.g., UNIX, MATLAB, Python, R).
- Education: PhD in engineering, biomedical engineering, medical physics, physics, chemistry, biostatistics, computational neuroscience or related fields.
- Work Experience:
- 2 years of experience in neuroimaging data processing.
- 2 years of shell scripting experience.
- 2 years of experience with Python, MATLAB, and/or R program.
- Experience applying UNIX skills.
- Experience with machine learning - pytorch or the likes ming language.
- Experience with fmriprep, dtiprep, qsiprep packages.
- 2 years of experience in neuroimaging data processing.
- Time management, multitasking and organizational skills.
- Communication skills; verbal, written and presentation.
- Computer skills including Microsoft Office Suite.
- Interpersonal skills.
- Resume/CV
- Cover Letter
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
Fixed Term (Fixed Term)
Time Type:
Full time
Rate Type:
Salary
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$58,656.00 - $80,000.00
Minimum
$58,656.00
Midpoint
$69,328.00
Maximum
$80,000.00
Application Instructions:
To learn more and apply online, please visit https://kumc.wd5.myworkdayjobs.com/en-US/kumc-jobs/job/Kansas-City-Metro-Area/Postdoctoral-Fellow-Research-Scientist_JR008349 or go to https://careers.kumc.edu/ and search for position number JR008349.
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
Equal Employment Opportunity Statement
The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information. http://policy.ku.edu/IOA/nondiscrimination
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