ICTS BERD Principal Statistician - 23161-1A

Updated: Aug 15, 2022
Location: Irvine-Campus
Job Type:
Department: Clinical & Translational Sci

Job Opening ID: 23161
Reports To: Director, Center for Statistical Consulting
Working Title: ICTS BERD Principal Statistician
Department: Clinical & Translational Sci
Bargaining Unit: 99
FLSA: Exempt
Payroll Job Code: 006610
Job Location: UCI Campus- Irvine
Percent of Time: 100%
Work Schedule: 8-5 M-F
Employee Class: Career
 
Position Summary:
 
The Institute for Clinical and Translational Science is a special project department housed under the Office of Research on the UCI Campus. The ICTS is funded by the NIH under the Clinical and Translational Sciences Award program, one of about 50 currently funded in the US. Our unique environment means that staff, faculty, and students work closely together in order to advance translational science across campus and the medical center. The ICTS functions as a local centerpiece for the national program, and we are dedicated to advancing scientific discovery and medical breakthroughs. Collectively, our goal is simple: to accelerate these discoveries from the lab and translate them into life-altering medical care. The BERD Unit’s mission is to achieve this goal through the provision and promotion of exceptional biostatistical collaboration and education.
 
Under the general direction of the Director of the Biostatistics, Epidemiology and Research Design Unit (BERD) at the ICTS, the incumbent will provide biostatistical and epidemiological support for collaborative research, consultation, and education/teaching. This includes project consultations with faculty, staff, and student researchers, support on study design, data analysis, developing novel biostatistical methodologies, data management and coordination, and supporting education/training initiatives, including leading short courses on the practice of biostatistics to diverse audiences. Responsibilities include statistical modeling and programming and providing consultation support for investigators/scientists throughout ICTS and all departments across the UCI campus broadly; running simulations for new and existing mathematical approaches to data analysis (including, but not limited to, survival analysis, generalized linear models, generalized linear mixed models, machine learning methods), arising from laboratory studies, clinical trials, and population-based studies; participating in consultations and discussions with researchers; assisting with the preparation of research papers, abstractsm and presentations; keeping current with methodological developments in biostatistics, epidemiology, and related disciplines; and contributing to grant proposal preparation for extramural funding. The incumbent is responsible for managing multiple collaborative research projects and associated deadlines. Appropriate specialized traning on BERD standard operating procedures for statistical consultation and project tracking will be provided.
 
Compensation Range:
 
Commensurate with Experience
 
Department Website:
 
 
Required:
 
Master’s degrees in Statistics or Biostatistics or related field such as Epidemiology with 4 or more years of relevant experience.
Advanced ability to conceptualize, plan, design, develop and implement statistical programs for data analysis.
Advanced skills associated with statistical analysis.
Advanced skills in analysis and consultation.
Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing. Project management skills.
Ability to lead and influence within and external to project team.
Advanced research skills at a level to evaluate alternate solutions and develop recommendations. Advanced ability to think creatively to recommend action steps or strategize solutions relative to research.
Advanced ability to Interpret, summarize and communicate results in writing and present results in research meetings, consultation, and collaborative research.
Organize, manage, and thoroughly document statistical analysis with careful consideration to the standards of reproducibility of research.
Assist in the day-to-day management of the statistical Unit, including coordination of meetings, project tracking/management and billing and communication/coordination with other ICTS administrative staff unit.
Experience with grant proposal and study design: Experience in study design (including but not limited to sample size, power, and precision analysis) and writing of the statistical analysis plan for grant application, particularly National Institute of Health grants.
 
Preferred:
 
PhD Preferred
Strong programming skills for at least 2 statistical programs such as SAS, Stata, R, SPSS, MPlus, Prism etc Experienced with preparation of teaching materials and BERD statistics courses.
This includes co-leading, leading short/mini courses on applied biostatistics.
Experience with clinical trials: Experience in the design/planning, monitoring and statistical analysis of clinical trials, particularly early phased clinical trials.
 
Special Conditions Required:
 
Valid CA driver’s license and reliable transportation required for travel to UCIMC and other locations for occasional meetings.
Occasional business travel, by air or car, to internal and external business meetings, including attendance at scientific meetings and educational/training workshops.
 
Final candidate subject to background check. As a federal contractor, UC Irvine is required to use E-Verify to confirm the work status of individuals assigned to perform substantial work under certain federal contracts/subcontracts.
 
The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
 
UCI provides reasonable accommodations for applicants with disabilities upon request. For more information, please contact Human Resources at (949) 824-0500.
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