Job Summary
The Savic Lab at UCSF is looking for a Data Science Research Manager who has the ability to manage multiple complex projects simultaneously. This leader receives assignments in the form of objectives and determines how to use available resources to meet schedules and goals.
Reviews and approves recommendations for HPC/Data/CI research, development and technology programs and initiatives. Provides guidance to subordinates to achieve research and technology goals in accordance with established policies. Erroneous decisions or failure to achieve goals results in additional costs and personnel, and delays in overall schedules of research and development projects.
Equipped with cutting-edge technology to ensure the successfully delivery of projects, the incumbent will use advanced computational, computer science, data science, and CI software research and development principles, with a focus on computational biology, biological systems modeling, and pharmacometrics. They will lead the enhancement of the lab's platform development capabilities with data science expertise. The incumbent would bring methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data across a broad range of domains.
Preference will be given to candidates who excel in data analysis and data visualization leadership and management.To see the salary range for this position (we recommend that you make a note of the job code and use that to look up):TCS Non-Academic Titles Search (ucop.edu)Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point.
An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.To learn more about the benefits of working at UCSF, including total compensation, please visit: Department DescriptionThe Department of Bioengineering and Therapeutic Sciences is a joint department that reports to both the School of Medicine (SOM) and the School of Pharmacy (SOP).
Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and therapeutic sciences.The research laboratory of Dr.
Rada Savic, in the Department of Bioengineering and Therapeutic Sciences of the University of California, San Francisco (UCSF), is engaged in groundbreaking drug development projects for infectious diseases including tuberculosis, HIV, and malaria, as well as pain management and autoimmune disease with a focus on identifying optimal treatment regimens. We develop and apply disease models, perform pharmacokinetic and pharmacodynamic evaluations, build physiology-based pharmacokinetic models, conduct exposure-response analyses, and utilize model-based simulations with the ultimate goal to optimize treatment in adult and pediatric patient populations. While pharmacokinetic-pharmacodynamic concepts and advanced quantitative clinical pharmacology principles have been integrated into the clinical development of compounds across many therapeutic areas, human dose prediction and early clinical evaluation of the efficacy and safety of candidate molecules for infectious diseases remains empirical.
Innovative approaches are required to enable effective translation of nonclinical data, providing insight into the selection of rational combinations and optimized clinical trial designs.Required QualificationsBachelor's degree in Computer/Computational/Data Science, or Domain Sciences with computer (Biomedical Sciences, Biomedical Engineering)/computational/data specialization and/or equivalent experience/training.Minimum 5 year of experience as a lead/supervisor/manager.
Minimium 6 years of expereince managing in a research organization or related experience.Proven ability to lead a technical staff of HPC/Data/CI and/or scientific personnel, including projects performed by multiple developers.Broad knowledge of research and development methods, 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.
Proven ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.Proven 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 research and technology p
Location: San Francisco, CA, United States
Posted: Aug. 28, 2024, 10:51 p.m.
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