Data Scientist, Department of Women's Health, Dell Medical School

Company: University of Texas at Austin
Location: Austin
Posted on: September 3, 2024

Job Description:

Job Posting Title:Data Scientist, Department of Women's Health, Dell Medical School----Hiring Department:Department of Women's Health----Position Open To:All Applicants----Weekly Scheduled Hours:40----FLSA Status:Exempt----Earliest Start Date:Immediately----Position Duration:Expected to Continue----Location:AUSTIN, TX----Job Details:General NotesNot a limited position.The Dell Medical School accepted its first class of 50 students in 2016. As part of The University of Texas at Austin, one of the nation's leading research universities, the Dell Medical School will pursue innovation in the redesign of healthcare delivery, excellence in healthcare research, and programs in interdisciplinary and interprofessional education. It will be the fifth medical school in the UT System and the first medical school established in nearly five decades by a member of the Association of American Universities, an organization of leading public and private research universities. An extraordinary commitment of resources, both public and private, has already been made to enable the development and success of the Dell Medical School. The School is partnering closely with the community and regional healthcare providers and payers to provide new models for health promotion, healthcare delivery, and clinical care for the community's underserved population.PurposeThe Data Scientist will support the research projects within the department led by faculty, fellows and residents. This position will provide the following types of support to ensure research projects run smoothly, meet the study specific objectives and within the specified timelines: study design and development, database development and support, data collection and management, data analysis, and publication and presentation development.ResponsibilitiesData Management:

• Develops methodologies and databases for collecting data using REDCap, Qualtrics and other data collection platforms.
• Manages data for clinical/non-clinical trials in all stages of study from different sources: collection, extraction, quality control, cleaning, data manipulation, preparation.
• Provides insight into current health data architecture and possible solutions to barriers.
• Monitors for compliance with federal and state regulations as well as internal and partner requirements (such as IRB approval, Dell Medical School policies) needed to access or share health data.
• Serves as an internal resource to faculty, fellows, and residents to answer questions related to data access, data aggregation, and data management.
• Works closely with analysts and informatics sta and with external data teams in Dell Medical School's partner institutions.
• Receives, manages and delivers requested data tasks; works with data requestors to translate data requests into logical queries using standard language and tools.Statistical Consulting and Study Collaboration:
  • Collaborates with investigators to develop statistical analysis plan.
  • Carries out statistical analyses independently/completes statistical responsibilities for more complex projects with supervision
  • Performs power and sample size calculations.
  • Helps to define research questions and then translates into appropriate methodologies and statistical analyses.
  • When applicable, provides feedback about study design, protocols and feasibility as it relates to given timelines and setting
  • When applicable, assists with the interpretation of data.
  • When applicable, assists with the preparation of data for presentations and publications.
  • Regularly attends division research meetings, lab meetings and 1:1 meetings with collaborators inside and outside of the institution.Other:
    • When applicable, provides insight and feedback to improve department- and school-wide infrastructure and systems.
    • Maintains department-wide databases
    • When applicable, provide mentorship to fellows and residents.
    • Other related duties as assigned.Required QualificationsBachelors degree in a related field and at least 2 years of experience in Data analysis/science or related field with complimentary experience in a data-related field such as data analysis and data management. At least 2 years' experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design.Proficient in a range of statistical techniques and procedures. Ability to use R and SAS. Ability to perform power and sample size calculations. Experience developing REDCap databases. Ability to work in high-performing and multidisciplinary teams. Team-oriented and collaborative working skills. Ability to work independently and set schedule to meet deadlines. Strong analytical and problem-solving skills. Relevant education and experience may be substituted as appropriate.Preferred QualificationsPhD in related field or DrPh from accredited university. Management and analysis of large, complex clinical research trials.Familiarity with Gpower and PASS. Familiarity with SmartSheet, Qualtrics and other data management programsSalary RangeOPENWorking Conditions
      • Repetitive use of a keyboard at a workstation.Required Materials
        • Resume/CV
        • 3 work references with their contact information; at least one reference should be from a supervisor
        • Letter of interestImportantfor 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 thatALLRequired 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 questionspresented 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.----Background Checks: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.----Pay Transparency: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.----E-Verify: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:
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          • [PDF]----Compliance: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.

Keywords: University of Texas at Austin, Austin , Data Scientist, Department of Women's Health, Dell Medical School, Healthcare , Austin, Texas