University of Utah Biostatistician II in Salt Lake City, Utah
Open Date 07/25/2018
Requisition Number PRN17872B
Job Title Biostatistician II
Working Title Biostatistician II
Job Grade F
FLSA Code Professional
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Work Schedule Summary
VP Area Academic Affairs
Department 00952 - Division of Epidemiology
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range 47600 to 79699
Open Until Filled Yes
Master’s level Biostatistician in the Study Design and Biostatistics Center ( SDBC ) or the Cancer Biostatistics Resource at the University of Utah
The Study Design and Biostatistics Center ( SDBC ) and the Cancer Biostatistics Resource at the University of Utah are seeking MS level biostatisticians to play leadership roles in collaborations with clinical and translational investigators. The successful candidates will work effectively in a multidisciplinary group setting in areas of design of data collection instruments, study design, statistical programming, management and analysis of data, graphical presentation of data and writing of reports which include explanations of the statistical methods used and interpretation of results. The duties of each position require skills in data analysis, interest in new statistical methods, and mastery of at least one statistical programming language.
We currently have MS level biostatistician openings in the following areas:
1) Consulting biostatistician. This position will support the Center of HOPE , which houses multiple intensive longitudinal datasets including ecological momentary assessments, streaming physiology, and GIS tracking. An ideal candidate will have the ability to work under the direction of PhD level statisticians to master current methods for analyzing intensive longitudinal data and conduct analyses of micro-randomized trials and sequential multiple assignment randomized trials ( SMART ). Solid knowledge of statistical methods including multiple regression, longitudinal data analysis, categorical data analysis and survival analysis is required.
2) Consulting Statistician. The successful candidate will be capable of meeting independently with clinical investigators in a variety of medical domains to clarify study objectives and to formulate and write statistical analysis plans, carry out sample size calculations, conduct statistical analyses, write reports to present results of statistical analyses, prepare graphical summaries of data, and assist in presentations and publications. Solid knowledge of statistical methods including multiple regression, longitudinal data analysis, categorical data analysis and survival analysis is required. Prior experience working in a biomedical research environment is highly desirable.
3) Biostatistician with Statistical Programming Focus. This successful candidate will create analysis data sets to meet the specifications of individual projects while adhering to internal standards and guidelines, perform program validation, document programs, provide consistent maintenance of code, logs and output, write SAS macros or R-functions to generate summary tables and reports, and prepare graphical summaries of data. Prior exposure to relational data base structures, experience with standardizing computer code, and experience producing statistical graphics is highly desirable.
Each of the three positions has the following skills and knowledge requirements:
-Excellent written and verbal communication skills with the ability to document work through statistical analysis plans and reports
-Demonstrated expertise in either the SAS or R statistical programming languages
-Interest in learning new statistical methods
-Strong organization skills and the ability to handle a demanding workload and balance multiple tasks
-Highly motivated and able to work in an interdisciplinary group setting
This position requires a solid knowledge of standard statistical analysis procedures with a minimum of an MS degree in statistics, biostatistics, or a related field, and demonstrated knowledge of at least one statistical programming language such as SAS or R. Experience with Microsoft Office (Word, Excel, PowerPoint). An ability to work on several projects simultaneously and manage deadlines, and excellent communication skills, including the ability to clearly explain statistical techniques and present data results.
-At least 3 years of experience in a statistical consulting or statistical programmer role
-Prior experience in a biomedical research
-Experience in the analysis of large administrative data sets
Type Benefited Staff
Special Instructions Summary
Please upload a cover letter that details which position you are applying for and your qualifications for that position, as well as the contact information for 3 references.
The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
To inquire about this posting, email: email@example.com or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/ TDD ), email: firstname.lastname@example.org .
The University is a participating employer with Utah Retirement Systems (“URS”). To be eligible for retirement contributions, you must be hired into a benefit-eligible position. Certain new hires are automatically assigned to the URS retirement plan and other employees with prior URS service, may elect to enroll in the URS within 30 days of hire. Regardless of whether they are hired into a benefit-eligible position or not, individuals who previously retired and are receiving monthly retirement benefits from URS must notify the Benefits Department upon hire. Please contact Utah Retirement Systems at (801)366-7770 or (800)695-4877 or the University’s Benefits Department at (801)581-7447 for information.
This position may require the successful completion of a criminal background check and/or drug screen.