Jobbörse

Purpose

The Research 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.

Responsibilities

Data 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 staff 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.

• Master's degree in a related field
• 10 years of professional experience with complimentary experience in a data-related field such as data analysis and data management or a PhD and 5 years of professional experience with complimentary experience in a data-related field such as data analysis and data management.
• 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.

Relevant education and experience may be substituted as appropriate.

• PhD 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 programs.

$80,000 + depending on qualifications

• May work around standard office conditions

• Repetitive use of a keyboard at a workstation

• Occasional weekend, overtime, and evening work to meet deadlines

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest

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.