Jobs and Careers
United Statesfull_timeVerifiedPosted 12 Aug 2024
💰 $70,000/yr

About the role

Job Posting Title:

Data Analyst

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Hiring Department:

Department of Population Health

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Sep 01, 2028

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Location:

AUSTIN, TX

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Job Details:

General Notes

The Department of Population Health at the Dell Medical School is looking for a Data Analyst.

Dell Medical School at the University of Texas at Austin is searching for an expert of classical and modern statistical techniques who understands and has extensive experience in their applications. In a highly collaborative environment, the individual will interact with Dell Medical School Investigators on service delivery and research projects.

This position engages with multi-disciplinary teams as part of several cancer prevention programs and research grants. 

This position has an end date of 09/01/2028, but may be renewable based upon availability of funding, work performance, and progress toward goals.

Purpose

The individual will, with independence commensurate with experience, will effectively engage multi-disciplinary research teams at Dell Medical School to provide professional biostatistical support for biomedical, clinical, and population health research. An ideal candidate would be skilled in managing and merging multiple data sources while maintaining integrity; identifying appropriate methods for coordinating data collection; sharing data securely; developing effective research designs; be responsible for performing quality checks; and supporting data needs for internal and external reporting purposes.

Responsibilities

  • Database Development: Develop program databases in collaboration with the program directors and program staff. Maintain and check all data entry for accuracy and completeness. Provide regular reports on program database and recruitment goals. Analyze and interpret data including selection and application of statistical methods.

  • Data Analysis: Analyze data to determine trends, discrepancies or other project-specific information. Interpret research findings and assist in preparing recommendations as needed, in support of program director decision making. Compile regular reports for various internal customers, grantors and external agencies.

  • Data Reporting: Effectively disseminate findings by formulating and presenting reports of results including graphical displays. Prepare data analysis and results for reporting to committee and scientific meetings, as well as external funder. Collaborate on the development of reports or manuscripts for peer-review, including but not limited to scholarly journals. Additional duties may include conducting reviews of statistical components of protocols for scientific or IRB review and/or statistical analysis plans.

  • Compliance: Monitor data infrastructure and processes for compliance with regulatory, internal, and partner requirements needed to access or share health data.

  • Other related duties as assigned.

Required Qualifications

Master’s degree in Statistics or Biostatistics or very closely related field, with major coursework in statistics or Bachelor's degree Statistics or Biostatistics or very closely related field and 2 years of relevant experience. Thorough knowledge and ability to use at least two common statistical software packages such as SAS, Stata, R, and SPSS. Proficiency with REDCap and how to build and maintain databases. Some experience with research designs and pragmatic approaches, Ability to perform descriptive data analysis; and to execute specialized analyses, under the direction of a PhD statistician. Excellent communication and collaborative skills, both oral and written. Interest in learning about diverse areas of biomedical, clinical, and population health sciences. Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

More than two (2) years of professional experience in data management and analysis. Professional experience in data management and analysis in an educational or healthcare setting. Experience working with educational or socio-behavioral data.  Advanced Microsoft Office Suite skills, with strong focus on Excel.  Demonstrated knowledge and experience working with large data sets, including design survey instruments, data collection processes, data analysis, and wri

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Company

The University of Texas at Austin

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