|Job title||Company||Expected salary||Location||Job date|
|Research Engineering/Scientist Associate (RESA) II, Department of Neurology, Dell Medical School||University of Texas at Austin||$40000 per year||Austin, TX||Fri, 16 Dec 2022 23:09:06 GMT|
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|Job Posting Title: Research Engineering/Scientist Associate (RESA) II, Department of Neurology, Dell Medical School
Hiring Department: Department of Neurology
Position Open To: All Applicants
Weekly Scheduled Hours: 40
FLSA Status: Exempt
Earliest Start Date: Immediately
Position Duration: Expected to Continue
Location: UT MAIN CAMPUS
This position is hybrid: 50% on-site, 50% remote and will require occasional travel to the NIH. It is for a one-year fixed term with possibility of continuation based on performance and available grant funding.
This position will support the research activities within the Stroke Institute, Department of Neurology by planning, directing, and performing research at an advanced level. The candidate will be working in a highly collaborative environment that includes researchers from the Departments of Neurology and Diagnostic Medicine at the Dell Medical School at The University of Texas at Austin, the National Institutes of Neurological Disease and Stroke at the National Institutes of Health (NIH), and iSchemiaView.
Work under the guidance of the Principal Investigators (PI) to meet the objectives of research studies
Assist PIs to develop study protocols and procedure manuals
Facilitate institutional review board (IRB) applications, submissions, and updates across multiple sites
Ensure completion of contract requirements and project specifications
Establish image data storage and curation
Develop quality control for image data
Develop and implement perfusion weighted image processing to extract measures of cerebral blood flow and perfusion timing
Develop and implement longitudinal image co-registration, motion correction, and lesion segmentation
Determine optimal perfusion threshold for predicting final infarct volume
Complete training in image reads and assist in reading ischemic stroke images for comparison to processing pipelines
Develop and maintain timelines in coordination with PIs
Collaborate with PIs and project investigators to prepare methodological notes, reports, presentations and other dissemination activities related to the project activities
Manage assigned projects with an emphasis on coordination and communication with research sponsors, investigators and research team members
Assist in training project staff and research assistants
Help to facilitate project collaborations and team work
Other related functions as assigned
Master’s degree in a relevant field (BME, ECE, Physics, Neuroscience, etc.) or Bachelor’s degree and two (2) years’ experience. Strong programming skills (Python, R, C++, or Java), biostatistical skills, and experience with high-performance computation. Experience in neuroimage processing (packages such as: SPM, FSL, ITK-SNAP, etc.). Record of publishing in relevant, high-quality journals in the above fields. Initiative to complete tasks before being asked and be able to independently manage image processing pipelines. Great attention to detail and effective follow-through. Excellent communication abilities in English; spoken and written. This is a multidisciplinary research project where the candidate will have opportunity to interact with collaborators at the NIH as well as in industry. A hybrid work schedule can be accommodated; however, study activities will require in-person work at times and occasional travel to the NIH. The Dell Medical School is especially interested in qualified candidates who can contribute to diversity and excellence within the learning health system. At the Dell Medical School we strive to create a vital, inclusive health ecosystem. To ensure alignment, we follow these fundamental values: . Relevant education and experience may be substituted as appropriate.
Previous experience with neuroimaging analysis and data management in clinical health research. Experience in curating and managing large databases of multimodal neuroimaging data. Graduate degree in engineering, neuroscience or a related field. Strong record of experimental design and execution, data analysis, and data interpretation. Experience with human subjects’ clinical trials (IRB protocols, consent forms). Relevant publication record or experience in neuroimage processing.
$40,000 + depending on qualifications
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Occasional weekend, overtime and evening work to meet deadlines
Occasional interstate, intrastate and international travel
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an , complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in .
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
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