| || 47524BR |
| || DOM Informaticist |
| || 6028 Computational and Data Science Research Specialist IV |
| || UCSF Parnassus |
| || Medicine |
| || Monday - Friday, 8:00 am - 5:00 pm |
| || Days |
| || 8 Hours |
| || JOB OVERVIEW
The Department of Medicine (DOM) Informaticist will be responsible for managing the data inputs and output for the Department of Medicine (DOM) leadership and its individual Divisions. This person will be asked to develop seemless ways to extract, analyze and display data pertinent to our clinical, educational and research missions. Analysis of data will include both statistical analysis and visualization. Specifically this position is responsible for the design and management of PRISM (PeRformance Improvement through Strategic Measurement), the Department of Medicine’s performance improvement dashboard.
The individual will be expected to lead and manage key components of the DOM’s decision support systems including clinical research databases and data management. The DOM Informaticist will oversee the collaborative process whereby the Divisional leaders and the Department executive team assess inpatient and outpatient case volumes, budgets, other performance indicators. The DOM Informaticist will be part of a team whose goal is to proactively analyze data to make sound operational, financial and investment decisions.
The DOM Informaticist will also be responsible for extracting data from the electronic health record (EHR) for clinical, quality and research needs and creating data reports to help with their analysis. As such, this person will engage in understanding our current performance, as well as assessing the impact of improvement efforts. The DOM Informaticist is expected to suggest and perform additional areas for analysis based on the data and work with leadership to identify gaps and areas for improvement.
The DOM Informaticist must be willing to learn a basic data science skill set, if they do not possess one already. The Data Core is willing to train the individual in the SQL programming language and to fund their training with Epic Systems in the use of the relational database that runs behind their EHR, one of the most widely used EHRs in the nation. Similarly, the individual must be willing to learn Qlikview or Tableau data presentation modes that are widely used at UCSF.
The Department of Medicine (DOM) is the largest department in the School of Medicine (SOM) at UCSF. The mission of the Department includes research, teaching, patient care, and public service. For the past 30 years, the DOM has consistently ranked among the top four departments of medicine in the country, and in four of the past five years, the Department has been the number one recipient of NIH research dollars. In 2016-2017, four of the DOM’s specialty clinical programs are ranked in the top 10 by US News & World Report. The DOM has 17 ACGME and 15 non-ACGME fellowship programs, and its internal medicine residency has consistently been ranked as one of the top programs in the country. Authority and accountability for the Department rest with the Department Chair who heads the Parnassus site and also directs the Vice Chairs/Chiefs at the ZSFG and VAMC sites.
To be successful in these academic pursuits, our faculty requires access to high-quality data. Data are also important to assessing the impact of improvement interventions. Examples of projects could include: understanding delays in care from cancer diagnosis to treatment, reducing health care disparities, analyzing interventions such as video visits and their effect on future health care utilization. In light of this need, the Department is building a data informatics team to provide data acquisition and analysis services to our faculty. The DOM Informaticist would be a key member of this group.
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 in Biological or Physical Sciences, or Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and three to five years of related work experience, or an equivalent combination of education and experience
• Advanced knowledge of HPC / data science / CI, and programming languages related to data analytics - e.g. SAS, Python, R, SQL, Stata, etc.
• Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope. Experience in manipulating tabular or spreadsheet data
• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
• Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
• Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI
• Experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
• Prior academic and/or healthcare experience in a complex academic and clinical health care environment
• Experience in developing academic products (e.g. abstracts, manuscripts, workshops, posters, etc.)
• Previous experience working with large datasets
• In depth ability to successfully work and / or lead multiple concurrent projects with conflicting deadlines. Demonstrated research and technology project leadership and management skills
• Knowledge of statistical approaches and analysis techniques
• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs
• Demonstrated ability to regularly, effectively communicate with management and leadership
• Demonstrated ability to contribute research and technical content to grant proposals or manuscripts/reports
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
• Self-motivated and works independently and as part of a team
• Willingness and ability to be trained successfully in Clarity report writing
• Strong attention to detail
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 in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and six to eight years of related work experience, or an equivalent combination of education and experience
• Experience in supporting academic physicians and trainees in quality improvement and patient safety programs, including education and training
• Experience using SQL to obtain data from a relational database
• Experience with R, or willingness to learn R
• Familiarity with Epic Systems’ Clarity relational database
• Familiarity with the operation of a medical system (e.g. hospital, clinic)
| || 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. |