Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
This position will perform innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility for software and hardware development and implementation in a neuroimaging-focused, neuroscience lab. This position will work under the guidance of Dean Wong, MD, PhD and Ganesh Chand, PhD within the Mallinckrodt Institute of Radiology (MIR) Our laboratory focuses on the multi-modal neuroimaging, including brain magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG) and positron emission tomography (PET) datasets from various clinical studies (Schizophrenia, Alzheimer’s disease, Atherosclerosis).
PRIMARY DUTIES AND RESPONSIBILITIES:
Perform quality check of brain PET/MR images and manage them in the data repository and computer servers.
Run existing PET/MR brain image processing pipelines in 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 team leaders.
Engage in the development and testing/validation of new quantitative machine learning/artificial intelligence algorithms and their applications to PET/MR studies.
Prepare documentation of existing and newly developed brain image analysis pipelines and algorithms/methods.
Assist the team in the manuscript preparation of research findings.
Support the team leaders to fulfill the research objectives of their funded projects.
Assist the team leaders in generating preliminary results for grant funding proposals.
Experience in similar research labs or environments.
Bachelor's degree (plus one to two years of related experience) or master’s degree in quantitative field, such as physics, engineering, computer science, data science, bioinformatics, computational biology, computational neuroscience, applied mathematics, biostatistics, and related field.
Strong computer skills (knowledge of Python, Python Libraries, Matlab, statistical analysis packages, basic shell scripting, experience in Unix/Linux platform).
Experience with image analysis such as MRI or PET analysis.
This position is ideal for the candidate who is familiar with and/or has high-level interest in emerging ML/AI techniques and their applications in clinical neuroimaging research.
This position offers the excellent learning opportunity to gain experience in advanced multi-modal neuroimaging techniques, image analysis, advanced machine learning/artificial intelligence techniques, and to apply these methods in the study of normal and pathological brain structure function. The laboratory has established worldwide collaborations with Academic Institutions and leading Pharmaceutical Companies. The position will receive the excellent learning opportunity from an interdisciplinary team of technical and clinical researchers.
The hiring range for this position is $51,292 - $66,684 annually.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, 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.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Radiology. This position is for the Medical School Campus.
Internal Number: 51890
About Washington University in St. Louis
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.