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Biostatistician II

The University of Texas at Austin
retirement plan
United States, Texas, Austin
101 East 27th Street (Show on map)
Nov 15, 2024

Job Posting Title:

Biostatistician II

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Hiring Department:

Department of Medicine

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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

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Location:

AUSTIN, TX

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Job Details:

General Notes

The Department of Internal Medicine at the Dell Medical School is looking for a Biostatistician II.

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 Department of Internal Medicine. 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 in the Department of Internal Medicine, 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 includeconducting 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 Internal Medicine and the Hub as appropriate, mainly for the purpose of prospectively identifying upcoming 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 or the Department of Internal Medicine as needed; professional development appropriate for collaborative area; miscellaneous projects related to the function of the Hub.

  • 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. Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Six years statistical collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval processes. Experience or expertise designing, implementing, and/or analyzing clinical trials. A PhD in a field related to biomedical, clinical or population research can be useful and desirable. Candidates with registry data sets, Medicare and clinical trial experience may be considered first.

Salary Range

$82,000+ depending on qualifications

Working Conditions
  • May work around standard office 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 interest

Importantfor 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.

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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.

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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.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,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.

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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.

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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 documents 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.

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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:

  • E-Verify Poster (English) [PDF]
  • E-Verify Poster (Spanish) [PDF]
  • Right To Work Poster (English) [PDF]
  • Right To Work Poster (Spanish) [PDF]

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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 HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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