Postdoctoral Research Associate - Radiology

Position Summary

We are considering the applications of a postdoctoral research fellow in neuroimaging, artificial intelligence (AI), and statistical genomics. 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 WashU Medicine in St. Louis, a top-ranked medical school in research. The candidate will work on identifying multimodal biomarkers, specifically leveraging magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics 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 these data modalities. The candidate will have the opportunity to work on big data studies in health and diseases, including Alzheimer’s disease and others such as schizophrenia, psychosis, autism, etc. We collaborate with major research universities worldwide as well as with neuro-related industries.

Primary

Duties & Responsibilities:

Information on being a postdoc at WashU in St. Louis can be found at (Use the "Apply for this Job" box below)..

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

• Assists with grant preparation and reporting.
• Prepares and submits papers on research.
• Assists in the design of research experiments.
• Evaluates research findings and assists in the reporting of the results.
• Conscientious discharge of research responsibilities.
• Maintains conformity with ethical standards in research.
• Maintains compliance with good laboratory practice including the maintenance of adequate research records.
• Performs quality checks of brain PET/MRI cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers.
• Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members.
• Writes computer codes for the above data modalities under the guidance of the team leader.
• Engages in the development and testing/validation of new quantitative AI algorithms and their applications to PET, MRI, EEG, behavioral, clinical, genetic, and proteomic data.
• Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods.
• Assists the team leader in generating preliminary results for grant funding proposals and manuscript preparation.
• Publishes research findings in reputable scientific journals.
• Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications.
• Collegial conduct towards co-trainees, staff members and members of the research group.
• Adherence to all applicable University policies, procedures and regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University.

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.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.

Certifications:

No specific certification is required for this position.

Work Experience:

No specific work experience is required for this position.

Skills:

Not Applicable

Driver's License:

A driver’s license is not required for this position.

More About This Job

Preferred Qualifications:

• Experience with multi-omics data analysis.
• Experience with neuroimaging-behavior and/or neuroimaging-genetics analysis.
• Familiar with emerging AI techniques, neuroimaging methods, and statistical genetics research.

Education:

No additional education beyond what is stated in the Required Qualifications section.

Certifications:

No additional certification beyond what is stated in the Required Qualifications section.

Work Experience:

No additional work experience beyond what is stated in the Required Qualifications section.

Skills:

3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation,…