Organisation Name: University of California San Francisco
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Job Summary JOB OVERVIEW The Computational and Data Science Research job involves analysis of genomic and health record datasets for the discovery of pharmacogenomic predictors of cardiovascular drugs. Responsibilities include epidemoiolgical study design; novel computer programming approaches; generation of phenotypes, computational algorithms, and visual plots; and genomic association and statistical analyses. Please note: This is a full time contract position for one year, for a total of five years, starting from the date of hire. CLINICAL PHARMACY The Department of Clinical Pharmacy is one of three departments in the School of Pharmacy (SOP). The School of Pharmacy operates through the School's strategic plan which was approved by the entire faculty in 2007. The three goals of the School are: creating a new framework for drug discovery and development, ensuring that more patients get the best results from their drugs, and shaping the future of pharmacy science, policy, education, and patient care by working in fresh and collaborative ways. Given the Schools Strategic planning, the Department has also met and adopted a mission and vision statement, under which it operates. The mission statement To advance health through excellence and innovation in pharmacy education, patient care, research, and public service and the vision statement To be the best at bridging gaps in patient care, especially for the underserved guide resource allocation and decision making within the Department. The Department of Clinical Pharmacy is a multi-faceted department that provides comprehensive medication management services (e.g., asthma, diabetes, anticoagulation, hypertension, hyperlipidemia, depression, and medication non-adherence) and medication access assistance (e.g., Medicare Part D plan selection, patient assistance program assessment/registration) in a variety of clinic settings in the San Francisco Bay Area and throughout the state. It is home to a number of functional units: the Center for Self Care, Center for Translational and Policy Research on Personalized Medicine, Drug Product Services Laboratory, Drug Research Unit, and the California Poison Control System, among others. The department also has significant teaching responsibility for the Doctor of Pharmacy program at UCSF. The department has approximately 40 faculty and 160 staff, as well as over 600 volunteer faculty members. ABOUT UCSF 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. Required Qualifications Bachelor's degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization or equivalent experience Three years of relevant and productive research experience in clinical, biological, and/or population-science research Experience in study design methodology, study conduct, and analysis Experience in Unix/Linux systems including HPC environments Fluency in one or more scripting and programming languages such as R, Python, Perl, Java or C++ Intermediate knowledge of HPC/data science/CI 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 Thorough 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 Proven skills and experience in independently resolving broad computing/data/CI problems using introductory and/or intermediate principles Proven ability to understand research computing/data/CI needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC/data/CI Demonstrated experience with MS Office programs Ability to mine, integrate, and perform analyses of complex biological data Proven ability to successfully work on multiple concurrent projects Demonstrated ability to contribute research and technical content to grant proposals, manuscripts, and presentations Self-motivated, works independently and as part of a team. Learns effectively, and meet deadlines Demonstrated ability to collaborate/communicate effectively with all members of the lab (faculty, students, scientists) and department staff, including ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences Demonstrated ability to regularly interface with management Demonstrated effective communication and interpersonal skills Proven ability to successfully work on multiple concurrent projects Preferred Qualifications PharmD (with research fellowship), Masters, or PhD in a relevant scientific field such as genetic epidemiology, human genetics, statistical genetics, applied statistics, pharmacogenomics, pharmacometrics, or computational biology (or equivalent experience) Familiarity with GWAS, PheWAS, and statistical genetics software such as PLINK, GCTA, EPACTS, etc. Familiarity with PD analysis, modeling & simulation, and modeling software such as NONMEM, WinNonlin, etc. License/Certification n/a Job Code and Payroll Title6104 Computational and Data Science Research Specialist III Organization Campus Appointment TypeContract Percentage 100% LocationUCSF Parnassus Work Days Monday - Friday ShiftDays Shift Length 8 Hours Equal Employment Opportunity 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.
