Biostatistician II, Biomedical Data Science Hub, Dell Medical School
The University of Texas at AustinAbout the role
Job Posting Title:
Biostatistician II, Biomedical Data Science Hub, Dell Medical School----
Hiring Department:
Department of Population 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 Notes
As part of the Biomedical Data Science Hub of the Dell Medical School, the position supports quantitative and methodological aspects of the knowledge creation and translation missions of the School. In a highly collaborative mode, the individual will interact with Dell investigators on research projects.
Purpose
Under the direction of the Director of the Hub or other PhD/Faculty (bio)statisticians, the individual will, with independence commensurate with experience, effectively engage multi-disciplinary research teams at Dell Medical School, and possibly Dell Med’s partners across the UT Austin campus, to provide professional biostatistical support for biomedical, clinical, and population health research.
Responsibilities
Data Analysis and Reporting: With some supervision, analyze and interpret data including selection and application of statistical methods. Effectively disseminate the statistical findings by formulating and presenting reports of results including graphical displays. Prepare written reports including reports of data for committee and scientific meetings. Educate collaborators on statistical methods. 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.
Study Design and Grant Development: With supervision, participate in the development of research study designs with respect to selection of appropriate statistical analysis methods and conduct of sample size and power calculations. Collaborate on the development of research or project grant applications and contribute to the writing of such applications. Educate collaborators on statistical methods proposed for their data. This is expected to involve the development of quantifiable research questions and/or testable hypotheses and/or participation in the development of detailed research protocols.
As dictated by collaborative duties and assignments, serve as a liaison between one or more DMS units and the Hub as appropriate, mainly for the purpose of prospectively identifying upcoming DMS needs in the area of quantitative methodologists. If less than 5% time, balance to be spent on Functions 1 and 2.
As requested and appropriate, may conduct specialized research or teaching projects, with latitude for creativity in design and implementation of such projects commensurate with experience. Determine project requirements and desired results and procedures to attain such results. Report results in in-house reports or publications, and/or journal articles as appropriate. If less than 10% time, balance to be spent on Functions 1 and 2.
Reporting about research activities of self and/or other members of the Hub as needed; professional development appropriate for collaborative area; miscellaneous projects related to the function of the Hub. Perform other duties as assigned. May coordinate and supervise other research staff in the context of a specific project.
Other related duties as assigned.
Required Qualifications
Master’s degree in Statistics or Biostatistics or very closely related field, with major coursework in statistics and four (4) years statistical collaborative experience post-degree. Thorough knowledge and ability to use at least two common statistical software packages such as SAS, Stata, R, and SPSS. Ability to perform descriptive data analysis; to perform statistical modeling for univariate, clustered, longitudinal or time-to-event data; and to execute specialized analyses, perhaps under the direction of a PhD statistician. Excellent communication and collaborative skills, both oral and written. Interest in collaborating diverse areas of biomedical, clinical, and population health sciences, including those examining or related to health equity or equity in health care. Professional demeanor. To ensure alignment, we follow these fundamental values: https://dellmed.utexas.edu/culture. Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
Eight years statistical collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval pro
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