UCSD Layoff from Career Appointment: Apply by 07/13/18 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible Disability Counseling and Consulting services (DCC) or Special Selection clients should contact their Vocational Rehabilitation Counselor for assistance.
The Division of Infectious Diseases and Global Public Health 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.
The position is for a highly motivated, hard-working individual who is trained in statistics, biostatistics, epidemiology, or a related field. Under the supervision of a Principal Investigator and Research Program Manager, the Statistician will conduct programming support, data management, and statistical analyses for scientific research in the fields of public health and epidemiology, including HIV, substance use, and gender-based violence among domestic and global populations.
Major responsibilities include: programing study surveys and other related material; creating and maintaining databases for various studies; preparing datasets for analysis (e.g. merging, cleaning, coding, consistency checks); conducting a wide range of statistical analyses and implementing statistical models; generating tables, graphs, and narratives for reports and manuscripts; providing oversight to data collection staff; and establishing, prioritizing, and monitoring project timelines and tasks related to statistical programing and analysis.
Other duties include: conducting power/sample size calculations and writing statistical analyses plans for grant applications; advising investigators throughout the division on appropriate statistical tests in order for valid conclusions to be derived; and meeting with medical and scientific researchers, including students, postdoctoral scholars, and international research partners to discuss statistical and scientific context.
Incumbent will be at least a Master’s level Statistician with experience working independently in data management and statistical analysis, utilizing both conventional and state-of-the-arts methods. Incumbent is expected to have excellent oral and written skills, required to have excellent proficiency in statistical programs, including (but not limited to) SAS, STATA, and R, and proficient in constructing tables, graphs, and various figures.
Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
A Bachelor's Degree in statistics, biostatistics, epidemiology; or related area and/or equivalent experience/training.
A minimum of two (2+) or more years of relevant experience.
Must have excellent written and verbal communication skills in English.
Skills to communicate complex information in a clear and concise manner both verbally and in writing. Experience with providing written interpretation of statistical methods and results, in a manner suitable for publication.
Working skills in statistical analysis, systems programming, database design and data security measures. Experience with statistical programming and the use of statistical software for database management and data analysis, including SAS, STATA, and R.
Demonstrated working skills in analysis and consultation.
Working experience with statistical methods and models incorporating a broad range of study designs and traditional and modern statistical approaches (e.g. linear, logistic, Poisson, survival and longitudinal models, and multiple testing adjustment methods).
Strong experience with data management. Knowledge of how to conduct working datasets using raw data. Ability to construct new variables, using existing variables from a dataset.
A Master’s Degree in statistics, biostatistics, or epidemiology. At least one (1) year of professional statistical experience.
Proven experience with methodology and terminology used in bi-national public health and epidemiology research, including HIV, substance use, and/or gender-based violence.
- Employment is subject to a criminal background check.
- Occasional work during evenings and weekends required.
- May involve occasional travel to scientific meetings within California and out of state.
- Training in the responsible conduct of human subjects’ research will be a requirement for working on this study.
UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. We invite you to join our dynamic team!
Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.
UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html
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