Senior Statistician- Hybrid - 133825
University of California - San Diego Medical Centers | |
United States, California, San Diego | |
Jan 25, 2025 | |
This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 01/28/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/07/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. Current UC San Diego Health employees who apply by 01/31/2025 will have priority consideration for this position. Recruiters will refer qualified internal candidates after the first 7 days of the job posting. All qualified external applicants and additional internal applicants who apply after the priority date may have further consideration pending the results of the initial review. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote. Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines, and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. The incumbent performs moderately to highly complex statistical computations for investigators in the Division of Division of Environmental Science & Health in the Department of Pediatrics under the guidance of a senior faculty statistician. The incumbent prepares statistical tables for periodic and special reports; consults regarding study design for studies of moderate to high statistical complexity and scope; provides assistance to students in the Division on statistical issues of moderate complexity; and contributes to manuscript and grant proposal development for studies requiring moderately complex statistical methods. Prepares R functions and packages for existing and upcoming studies across the Division. The incumbent works on write-ups for important technical points relevant to the existing and upcoming projects and demonstrates the above mentioned scripts and write-ups to the whole team. Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and / or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Performs other duties as assigned. MINIMUM QUALIFICATIONS
Pay Transparency Act Annual Full Pay Range: $85,400 - $156,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $40.90 - $75.10 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). |