DESCRIPTION

The Department of Pediatrics is one of the largest departments within the School of Medicine with approximately 171 Faculty, 60 post-doctoral fellows (both MDs and PhDs) along with over 300 support staff (not including hospital staff). In addition, the Department has 57 clinical residents and fellows distributed across the Divisions. The missions of research, education and patient care are intertwined, and are integral to the goals of the department.

The Department has undergone significant growth in recent years with a consolidated budget of approximately $106 million including sponsored projects expenditures of approximately $54 million and clinical revenue of over $ 52 million. This expansion of the Department's research and clinical portfolio is expected to continue in the next few years.

The Department's 18 divisions include Academic General Pediatrics, Child Development & Community Health; Allergy, Immunology and Rheumatology; Cardiology; Dermatology; Dysmorphology; Emergency Medicine; Endocrinology; Gastroenterology; Genetics; Genome Information Sciences; Hospital Medicine; Infectious Diseases; Neonatology; Nephrology; Pharmacology & Drug Discovery; Rehabilitation Medicine; and Respiratory Medicine.

In 2001, physicians and leadership of the University of California, San Diego (UCSD), Rady Children's, and Children's Specialists of San Diego (CSSD) unified pediatric patient care, research, education and community service programs, creating a university-affiliated children's health system to serve the region. Over the past two decades, an extensive list of joint programs has developed, with many physicians and researchers playing a role at both institutions.

This affiliation has consolidated the clinical, teaching, research and public service programs of the UCSD School of Medicine's Department of Pediatrics with San Diego's only health care system dedicated to the health and well-being of children. In 2009, this partnership was furthered by the creation of Rady Children's Specialists of San Diego, a Medical Foundation, and is now recognized as having global leaders in research, technology, translational medicine, education and clinical excellence.

The Kawasaki Disease Research Center serves to conduct research on samples collected from patients who have had Kawasaki Disease. The genetics of these patients along with that of their parents is being studied to help better understand the disease and how to treat it. Research is being done to try and develop a diagnostic test to assist the physicians in diagnosis.

Under direct supervision of the Principal Investigator (PI) and collaborating climate scientists, the Research Data Analyst will prepare data visualization and data mining. The incumbent will interpret results in consultation with the PI and collaborators. Major requirements for the position include the following: Familiarity with managing and conducting analysis with different types of large, high-dimensional data, coding and analysis experience in a common coding environment (e.g., R, Python), familiarity with geospatial visualization and analysis, desire to work in an interdisciplinary team, and good scientific communication skills. Preferred skill set includes familiarity with weather/climate data, familiarity with back trajectory analysis, statistics knowledge including basic Monte Carlo-style simulation techniques, and familiarity with time series and change detection techniques.

Under direct supervision, acquires skills and knowledge of professional concepts in research data analysis. Works on small projects or segments of projects with limited scope and complexity.

MINIMUM QUALIFICATIONS

• Four (4) years of related experience, education/training, OR a Bachelor's degree in related area.

• Acquiring knowledge of research function. Acquiring ability to perform research analysis duties.

• Acquiring statistical analysis, systems programming, and database design skills to perform research analysis duties.

• Ability to effectively manage time and see assigned parts of projects through to completion on deadline.

• Strong consultation and communication skills. Ability to present in group meetings.

• Thorough knowledge of statistics.

• Knowledge of Python coding skills (including string methods, list methods, dictionary methods, functions, loops, conditionals).

• Basic knowledge of database querying and building using Excel and/or SQL.

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