Research Associate (part-time)
The University of Texas at AustinAbout the role
Job Posting Title:
Research Associate (part-time)----
Hiring Department:
Department of Integrative Biology----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
30----
FLSA Status:
Exempt----
Earliest Start Date:
Sep 01, 2024----
Position Duration:
Expected to Continue Until Aug 31, 2025----
Location:
UT MAIN CAMPUS----
Job Details:
General Notes
This is a part-time (30 scheduled weekly hours) position. Position ends one year after initial hire date.
Purpose
The Meyers Lab at The University of Texas at Austin is immediately seeking outstanding research associate candidates. This part-time position will require a combination of technical strengths, high-level communication, leadership, and organization skills.
Responsibilities
Staged Alert Systems
Lead a team of students in documenting and evaluating COVID staged alert systems.
Work with staged alert collaborators to guide research to design future staged alert systems.
Disseminate the results of this analysis through reports and presentations
Educational Leadership
Develop teaching materials for mathematical epidemiology of infectious diseases both for the Freshman Research Initiative (FRI)
Collaborate with the training team on epiENGAGE grant to identify gaps in skills and knowledge; develop and guide training modules and resources; and disseminate resources for a wider audience.
Lead the scheduling of weekly lab meetings including finding speakers, identifying topics, and suggesting research articles.
Modeling Efforts
Submit weekly forecasts to the CDC’s COVID-19 Forecasting Hub.
Engage with our research team and the broader research and public health communities.
Collaborate with modeling teams on specific epiENGAGE projects.
Ad Hoc
Other lab needs as they arise
Required Qualifications
Candidates must have completed a PhD in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team. Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
Multiple years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with diverse communities and public health professionals.
Salary Range
$75,000
Working Conditions
Flexible work arrangement possible
Occasional evenings and weekends required
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Required Materials
CV
PhD Verification
Letter of interest
Research statement
Minimum of three (3) letters of reference, at least two of which must be from referees outside of the University of Texas at Austin.
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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