Postdoctoral Research Associate – Radiology – University of Washington, United States

Job Description

Position Summary

We are considering the applications of a postdoctoral research fellow in medical imaging, neuroimaging, and artificial intelligence (AI). This exciting career-building position is within the Department of Radiology, which currently ranks the third-highest NIH-funded among the Radiology Departments in the US. The position will work under Dr. Ganesh Chand, Assistant Professor of Radiology, within the Washington University in St. Louis School of Medicine, a top-ranked medical school in research. The candidate will work on identifying multimodal imaging biomarkers, specifically leveraging magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI), and electroencephalography (EEG), using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging, cognitive, clinical, and genetic modalities. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate with major research universities worldwide as well as with neuro-related industries.

What We Offer:

• A collaborative and cutting-edge research environment.
• Access to state-of-the-art imaging facilities, high performance computing, and large data resources.
• Opportunities for professional growth and conference attendance.
• A competitive pay and benefits package.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Primary Duties and Responsibilities

Trains under the supervision of a faculty mentor including (but not limited to):

• Perform quality checks of brain PET/MRI and genetic data and manage them in the data repository and computer servers.
• Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members.
• Write computer codes for the PET/MR brain image analysis under the guidance of the team leader.
• Engage in the development and testing/validation of new quantitative AI algorithms and their applications to PET, MRI, EEG, behavioral, clinical, and genetic data.
• Prepare documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods.
• Assist the team in the manuscript preparation of the research findings.
• Support the team leader to fulfill the research objectives of their funded projects.
• Assist the team leader in generating preliminary results for grant funding proposals.
• Publish research findings in reputable scientific journals.
• Present research at conferences and contribute to grant applications.
• Mentor junior team members.
• Contribute to the overall research goals and objectives of the team.

Required Qualifications

• Ph.D., M.D. or equivalent terminal or doctoral degree.

Working Conditions

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range

Base pay is commensurate with experience.

Applicant Special Instructions

Please submit your application, including a brief cover letter with your research interests and experience, a CV, a list of publications, and contact information for three references.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.