Information Analyst

Job Posting Title:

Information Analyst

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Hiring Department:

Oden Institute

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Non-Exempt

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Earliest Start Date:

Jun 01, 2024

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Position Duration:

Expected to Continue Until Aug 15, 2024

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational visualization.

Purpose

We are seeking an Information Analyst to execute and manage experiments using established algorithms on the Parkinson’s Progression Markers Initiative (PPMI) dataset. This role is focused on the implementation and operational aspects of code execution rather than research and development. The successful candidate will play a key role in our efforts to advance early biomarker discovery for Parkinson's disease by analyzing and correlating data across imaging, clinical, and biological domains.

This is a temporary position from June 1, 2024 to August 15, 2024. The start date is flexible. Hours per Week: 20 (Part-time) or 40 (Full-time).

About Our Research: Parkinson's disease is a complex neurological disorder with symptoms ranging from motor impairments to cognitive changes. Our research focuses on enhancing early biomarker discovery through the analysis of various data types including clinical assessments, imaging studies, and biological markers. This includes work with T1 MRI to highlight anatomical structures, DaTSCAN for dopamine transporter intensity, and DTI for white matter diffusivity, among other techniques.

Responsibilities

• Execute and monitor algorithms on extensive datasets.

• Ensure the integrity and accuracy of experimental runs.

• Document process adjustments and outcomes.

• Collaborate with team members to troubleshoot and optimize code performance.

Required Qualifications

• Bachelor’s degree in computer science, data science, or related field.

• Experience in the use of an automated integrated business information system.

• Proficiency in Python, specifically with PyTorch.

• Ability to work independently and efficiently manage time.

• Strong problem-solving skills and attention to detail.

Preferred Qualifications

• Familiarity with different data modalities within the PPMI dataset such as clinical data, biological data, and imaging data (T1 MRI, DaTSCAN, DTI).

• Previous experience working with large datasets and computational frameworks.

Salary Range

$25.00 hourly

Required Materials

• Resume/CV

• 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.

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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.