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The Department of Public Health Sciences (PHS) is a large complex research, teaching, and clinical department that is part of the UC Davis School of Medicine and UC Davis Health. The mission of the Department is to improve the health of the population using approaches based in epidemiology, biostatistics, economics, and behavioral science through research, educational programs, clinical programs, public service, and policy development. At UC Davis, we are solving life’s most urgent challenges to bring a fuller, healthier, and more resilient world within reach. We grow from every challenge we take on and we do not just maintain – we improve. We recognize that creating an inclusive and intellectually vibrant organization means understanding and valuing both our individual differences and our common ground. The most comprehensive solutions come from the most diverse minds and you belong here. As you consider joining UC Davis, please explore our Principles of Community , our Clinical Strategic Plan and strategic vision for research and education, and our latest efforts to outgrow the expected . Job Summary Final Filing Date | 08/25/2023 | Salary Range | $3,394.40 - $6,383.20 | Salary Frequency | Bi-Weekly | Appointment Type | Career | Number of Positions | 1 | Percentage of Time | 100% | Shift Hour | 08 Hours | Location | Institute for Regenerative Cures- Building # 41 | City | Sacramento | Union Representation | No | Benefits Eligible | Yes |
We offer exceptional employment benefits including medical, dental, and vision plans, generous paid vacations and holidays, excellent retirement savings and investment plans, continuing education, and reduced fee and scholarship programs. THIS IS NOT AN H1- B OPPORTUNITY Responsibilities This position is in the Division of Biostatistics within the Department of Public Health Sciences and supports basic and clinical research and investigators throughout the School of Medicine. Incumbent will act as a biostatistician on a variety of projects in the School of Medicine. Incumbent will participate in projects within the Division of Biostatistics to include using state of the art mathematical approaches to data analysis, developing related software, participating in discussions with researchers, participating in publication of papers in scientific journals, attending conferences and making presentations, conducting seminars, keeping current with related literature, helping to guide and educate students, postdoctoral scholars, residents, and fellows, and helping to write proposals for future funding. This position reports directly to Dr. Sandra Taylor. This position is a hybrid work opportunity. Required Qualifications: Applicants are encouraged to upload license and certification if required of the position. - Bachelor’s degree in biostatistics, statistics, data science, mathematics, biological science, computational/programming, or related area and/or equivalent experience/training.
- Demonstrated experience conducting statistical analyses including selecting appropriate statistical methods, coding analyses and communicating results.
- Experience Programming in R or SAS.
- Demonstrated experience conducting and interpreting statistical analyses including ANOVA, linear regression, logistic regression, survival analyses, and longitudinal analyses.
- Experience working in a research environment.
- Ability to work collaboratively with investigators with diverse backgrounds in a research environment either in a university or industry setting.
- Skills and experience in summarizing and communicating results of statistical analyses to statisticians and non-statisticians both verbally and in writing.
- Skills and experience in documenting and organizing statistical analyses, including programming code, data and analysis output in accordance with reproducible research standards.
- Skills and ability to prepare data sets for statistical analysis including identifying errors and inconsistencies, merging multiple data sets, subsetting and reorganizing data sets.
- Excellent writing skills with experience preparing scholarly publications, technical reports and/or grant proposals.
- Strong verbal communication skills.
- Strong organizational and time management skills.
- Ability to work on multiple projects concurrently.
- Working knowledge of modern biology and medical research.
Preferred Qualifications - Master’s degree in statistics, biostatistics, biometry, data science or closely-related field and/or equivalent experience and/or training preferred.
- 4-10 years of experience conducting applied statistical analyses for biomedical research projects in collaborative environment
- Experience supervising junior staff or students in conduct of statistical analyses.
Special Requirements - This position may be subject to a criminal background investigation, drug screen, Live Scan fingerprinting, medical evaluation clearance, and functional capacity assessment.
- The University of California has implemented a SARS-CoV-2 (COVID-19) Vaccination Program SARS-CoV-2 Vaccination Policy (ucop.edu) covering all employees. To be compliant with the policy, employees must submit proof of vaccination or a University-approved exception or deferral.
EEO Diversity, Equity, Inclusion and Belonging At UC Davis, we’re solving life’s most urgent challenges to bring a fuller, healthier, and more resilient world within reach. We grow from every challenge we take on and we don’t just maintain - we improve. We recognize that creating an inclusive and intellectually vibrant organization means understanding and valuing both our individual differences and our common ground. The most comprehensive solutions come from the most diverse minds and you belong here. As you consider joining UC Davis, please explore our Principles of Community , our Clinical Strategic Plan and strategic vision for research and education, and our latest efforts to outgrow the expected . The University of California 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.
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