Statistician or Senior Statistician-Hybrid/Remote - 119501
#119501 Statistician or Senior Statistician-Hybrid/RemoteExtended Deadline: Fri 6/2/2023
UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.
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This position will work remotely at first, but will likely be a hybrid/remote in the future. A hybrid schedule will include a combination of working onsite at the Front Street location and remotely.
Depending on the experience of the selected candidate, this position will be hired at the RSCH DATA ANL 2 or RSCH DATA ANL 3 level.
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.
Incumbent works as a Research Data Analyst to perform standard, moderately complex statistical computations for investigators in the Division of Environmental Health in the Department of Pediatrics. The incumbent prepares statistical tables for periodic and special reports; consults regarding study design for studies of moderate 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. The incumbent also provides input into data management and data audit procedures for multiple projects in the Division.
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.
Six (6) years of related experience, education/training, OR a Bachelor’s degree in related area plus two (2) years of related experience/training.
Working knowledge of research function. Theoretical knowledge of statistics or related field at the collegiate level.
Working skills in statistical analysis, systems programming, database design and data security measures. Demonstrated experience performing moderately complex statistical programming.
Working skills in analysis and consultation. Demonstrated working experience with statistical methods and models incorporating a broad range of variable types and traditional and modern statistical approaches.
Skills 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.
Excellent time management skills. Demonstrated skill in prioritizing multiple responsibilities and tasks. Excellent organization skills.
Demonstrated knowledge of statistical computer packages. Demonstrated knowledge of Windows PC's and familiarity with MAC platform. Demonstrated knowledge of Word, Excel, Power Point, and relational database concepts.
- Knowledge of relational database concepts, programming, and SQL language.
- Experience designing, implementing, maintaining and using large and complex databases.
- Ability to recommend plans for research design.
- Masters degree in Statistics, Mathematics, or related field.
- Employment is subject to a criminal background check.
Pay Transparency Act
Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%)
Hourly Equivalent: $25.67 - $53.45
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).
Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.
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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Job Reference #: 119501