| || 47825BR |
| || Statistician |
| || 6256 Research Data Analyst II |
| || ZSFG |
| || Medicine / ZSFG-Pulmonary & Critical Care Medicine |
| || Monday - Friday, 8:00 am – 5:00 pm |
| || Days |
| || 8 Hours |
| || JOB OVERVIEW
The Statistician will manage and analyze data, assist with preparing the data for presentation/publication, and participate actively in manuscript and grant writing for studies evaluating new tools for improving diagnosis and management of tuberculosis, HIV, and HIV-associated co-morbid conditions. The individual will generate regular reports on study data, perform data cleaning (potentially including complex database merging and transformations), and assist with maintaining human subjects approvals and financial reporting. As some studies are based internationally, the individual will interact with an international team of project collaborators; international site visits may rarely be required. Experience with time varying covariates, multi-state models, latent class analysis, machine learning is preferable.
The Statistician should be highly detail-oriented, punctual, with excellent communication skills. The individual will work with clinician scientists in the UCSF Division of Pulmonary and Critical Care Medicine, and potentially also the Division of AIDS.
DEPARTMENT OF MEDICINE
The Department of Medicine, with annual revenues of $417 million, is the largest department in the UCSF School of Medicine. The mission of the Department is research (basic and clinical), teaching, patient care, and public service.
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.
| || • Bachelor's degree and one to two years of experience in related area, and/ or equivalent combination of education and experience / training
• Experience with scientific writing including published manuscripts
• Knowledge of several statistical programs including R, Stata, and MS Excel is required to ensure the accuracy of study data, produce relevant datasets for analysis, conduct data analysis, and prepare data for publication/presentation
• Working knowledge of research function
• Skills to communicate complex information in a clear and concise manner both verbally and written
Note: Fingerprinting and background check required. Effective March 13, 2017, all final candidate(s) for employment are required to undergo a background check.
| || • Master’s degree (MA or MSc) in statistics and/or biostatistics, and at least one year of subsequent professional experience
• Data presentation using Adobe Designer/Illustrator, or equivalent
• Experience working in international infectious disease research
• Experience working on international collaborations including international field experience
• Experience communicating effectively with colleagues from different cultures in order to facilitate research collaborations
• Knowledge of medical terminology with a focus on tuberculosis and/or HIV diagnosis and treatment is needed to work with the many study collaborators
• Proficiency and experience with systematic reviews and meta-analysis
• Proficiency and experience with iMedRIS, UCSF’s online CHR submission and management system, or related institutional review board application submission system
• Familiarity with UCSF Internet protocols (including standard disclaimer language) is needed to ensure that any required web site operates in compliance with University standards
• Familiarity with UCSF/HIPPA requirements
• Familiarity with other UCSF applications such as BearBuy and MyExpense
| || n/a |
| || Full Time |
| || 100% |
| || The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. |