Data Analysis Supervisor II - 111415
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#111415 Data Analysis Supervisor IIExtended Review Date: Mon 1/17/2022
For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy
UCSD Layoff from Career Appointment: Apply by 08/31/21 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 09/10/21. Eligible Special Selection clients should contact their Disability Counselor for assistance.
This posting will remain open until filled.
The Department of Medicine is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego and employs 486+ full-time salaried faculty members and 100+ academic appointees. Staff personnel include 600+ staff in 9 bargaining units, students, and volunteers. There are 250 clinical faculty practicing at multiple sites and hospitals.
The Division of Infectious Diseases and Global Public Health (ID+GPH) within the Department of Medicine at UC San Diego aims to eliminate the burdens of infectious diseases and health disparities by delivering outstanding patient care, conducting world-class multidisciplinary health research, directing the institutional response to antimicrobial resistance, preventable healthcare associated infections, and emerging pathogens, and offering leadership, consultation and training on global public health, gender equity, microbiology, and infectious diseases topics.
Data Analysis Supervisor II will supervise statisticians, software developers and database managers and act as liaison between technical staff and researchers. Incumbent will also manage projects and priorities, and will allocate technical resources to ensure completion of projects.
Data Analysis Supervisor II will provide statistical, bioinformatics, and data-management support for a multiple-investigator human immunodeficiency virus (HIV)-clinical and -translational research program. Incumbent is responsible for application of a broad range of statistical data analysis methods, including generalized linear and additive models, mixed effects models and other multivariate methods, network analysis techniques, Bayesian methods, power and sample size calculation, statistical methods for genomics and sequence analysis.
Major responsibilities will include statistical, quantitative and data analysis support for grant proposals and manuscript preparation; data analyses and automating report generation utilizing a centralized biomedical data management system with specific responsibilities for biostatistical/data management and research progress reporting needs of an HIV program project.
Eleven (11) years of related experience, education/training, OR a Master’s degree in related area plus five (5) years of related experience/training.
Thorough knowledge of biostatistical methods.
Solid verbal and written communication skills.
Knowledge associated with monitoring staffing levels, recruitment and training procedures.
Knowledge and skills relating to database management and statistical software programming.
Advanced skills associated with statistical analysis, database management and systems programming.
Advanced skills in analysis and consultation. Advanced knowledge of statistical methods and significant methodological innovation.
Proven ability to read complex scientific literature, understand appropriate study design, formulate appropriate statistical hypotheses, and propose appropriate statistical methods.
Experience with moderately complex statistical programming and use of statistical computer packages, including SAS and R.
Advanced project management skills. Ability to lead and influence within and external to project team. Ability to work with Principal Investigators to establish project procedures, interpret results of advanced analyses and make recommendations regarding alternative approaches to develop research plans.
In-depth knowledge of research function. Knowledge of statistical theory and the ability to develop new methodology to meet novel requirements, such as statistical models in new areas of application and derivation of inference procedures using maximum likelihood, Bayesian or other principles; and specification of usage of new statistical methods with appropriate attention to tests assumptions, numerical accuracy and correct interpretation of results.
Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing. Excellent verbal and written communication skills, with the ability to interact effectively with a diverse group of people from faculty investigators to support staff throughout the institution. Ability to co-author effective and comprehensive proposals, presentations and articles.
Knowledge to provide written interpretation of statistical methods and results, in a manner suitable for publication.
- PhD in mathematics, statistics or a related field and at least ten (10) years of professional statistical experience.
- Employment is subject to a criminal background check.
Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team!
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