Open date: January 17th, 2020
Last review date: Saturday, Feb 1, 2020 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Saturday, Jul 17, 2021 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Data Specialist Research Positions
The research laboratory of Rada Savic, PhD, in the UCSF Department of Bioengineering and Therapeutic Sciences, has Associate to Full Specialist positions in data analytics and data science available immediately. Dr. Savic’s lab 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 are seeking candidates who will take part in developing and applying disease models, performing pharmacokinetic and pharmacodynamic evaluations, building physiology-based pharmacokinetic models, conducting exposure-response analyses, and utilizing model-based simulations with the ultimate goal to optimize treatment in adult and pediatric patient populations. As a part of the Savic lab you will utilize your analytical, statistical, and programming skills to collect, analyze, and examine large data sets to identify trends, develop tools and charts for recurrent and consistent analysis, develop guidance documents and standards of practice, and innovate and implement new mathematical and statistical techniques and approaches. We are looking for candidates with experience using a variety of data tools, building and implementing statistical models, using/creating algorithms and generating/running simulations. Candidates will have a Master’s or PhD in Statistics, Mathematics, Data or Computer Science or another quantitative field (or in process of obtaining), and be familiar with using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. The ideal candidate will have experience using a variety of data mining/data analysis methods and in designing and constructing new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis. Knowledge of high-performance computing and dynamic modeling are preferred and a good command of English, passion about scientific research, and the ability to work within a team are essential. Applicants must meet all of the requirements (including required degree) by the time of appointment. Salary is commensurate with experience.
Please apply online at https://aprecruit.ucsf.edu/JPF02842, with a curriculum vitae, cover letter stating research interests, and contact information for three references. For inquiries, please contact: firstname.lastname@example.org and email@example.com.
Pharmacometrics is an emerging discipline that uses mathematical and statistical tools to quantify drug, disease, and trial information to aid efficient drug development and regulatory decisions. It designs and applies mathematical models to describe the relationship between drug exposure (pharmacokinetics) and response (pharmacodynamics) for both desired and undesired effects and aims to include in such models, the effects of individual patient characteristics with the ultimate goal to give the right drug at the right dose to the right patient at the right time. Dr. Savic’s Pharmacometrics Team has established translational and clinical drug development expertise across many disease areas and is active internationally enjoying impactful collaborations and exchange programs with the most renowned clinical trial networks and modelling groups worldwide.
UC San Francisco seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. The University of California 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, disability, age or protected veteran status.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - stating research interests
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement of Contributions to Diversity (Optional)
Misc / Additional (Optional)
- 3 required (contact information only)