Statistician Visualizer

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:,ActualValueFromSolar:null},{QuestionName:Job Summary,AnswerValue:JOB OVERVIEWu003cbr/u003e• As a core member of California’s COVID-19 Response team, the Statistician Visualizer will contribute to efforts to mitigate the impact of COVID-19 and other infectious diseases through by collecting and synthesizing California-specific data, performing statistical analysis on these data, and interpreting robust and locally responsive models of COVID-19 and associated impacts of COVID-19u003cbr/u003e• As a statistician, provides public health statistics, statistical analysis, and related scientific and technical expertiseu003cbr/u003e• Provides statistical analysis of COVID-19 and other infectious diseases using appropriate methods including poisson and negative binomial regressions, spatial conditional autoregression, ensembling, machine learning and predictive models as appropriate. Provide statistical analysis of data associated with COVID-19 impacts as directedu003cbr/u003e• Presents and interprets the results of research findings, including visualizations of statistical analyses and disease models and prepares reports, scientific publications and articles for publicationu003cbr/u003e• Provides insight on statistical models and methodsu003cbr/u003e• Translates statistical results into real-world implications and policy options for technical and non-technical audiences including external stakeholdersu003cbr/u003e• Advises on, and assists in collecting and synthesizing California-specific data needed for models.u003cbr/u003eu003cbr/u003eThe position is assigned to the California Department of Public Health (CDPH), Division of Communicable Disease Control (DCDC), and is located at the CDPH campus in Richmond, CA.u003cbr/u003eu003cbr/u003eu003cbu003eu003cbr/u003ePlease submit your cover letter along with resume in order to be considered.u003cbr/u003eu003cbr/u003ePlease note: This is a full time contract position ending on March 15, 2021. May continue if funding is identified.u003c/bu003eu003cbr/u003eu003cbr/u003eCALIFORNIA DEPARTMENT OF PUBLIC HEALTHu003cbr/u003eCALIFORNIA DEPARTMENT OF PUBLIC HEALTHu003cbr/u003eThe UCSF Institute for Global Health (IGH) partners with the California Department of Public Health (CDPH), Division of Communicable Disease Control (DCDC) to reduce the burden and spread of COVID-19 disease. u003cbr/u003eu003cbr/u003eCDPH is dedicated to optimizing the health and well-being of the people in California. The mission of the DCDC is to reduce the transmission and impact of communicable diseases in California. The Division supports COVID-19 prevention and control efforts through providing statewide leadership, guidelines, training, technical assistance, and surge capacity in priority settings. The Division carries out this mission in collaboration with local health jurisdictions and stakeholders in the public and private sectors.u003cbr/u003eu003cbr/u003eIGH was established in 1999 by UCSF and the University of California, Berkeley (UCB). It is a unique multidisciplinary and cross-institutional enterprise, formally set up within the Department of Epidemiology u0026 Biostatistics in UCSF’s School of Medicine (SOM). In July 2004, IGH became an Organized Research Unit (ORU) at UCSF. IGH, now the Prevention and Public Health Group (PPHG), seeks to improve health worldwide, especially in developing countries, through research that informs policy. The research is part of a broader mission to advance the welfare of vulnerable populations in California, the United States, and abroad, through education, advocacy, and research.u003cbr/u003eu003cbr/u003eABOUT UCSF u003cbr/u003eThe 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.u003cbr/u003eu003cbr/u003e *LI-NL1,VerityZone:jobdescription,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Organization,AnswerValue:Campus,VerityZone:location,QuestionType:select,ActualValueFromSolar:null},{QuestionName:Req Number,AnswerValue:55719BR,VerityZone:autoreq,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Location,AnswerValue:Richmond, CA ,VerityZone:formtext8,QuestionType:single-select,ActualValueFromSolar:null},{QuestionName:Job Title,AnswerValue:Statistician Visualizer,VerityZone:formtext10,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Appointment Type,AnswerValue:Contract,VerityZone:formtext12,QuestionType:radio,ActualValueFromSolar:null},{QuestionName:Percentage,AnswerValue:100%,VerityZone:formtext13,QuestionType:Text,ActualValueFromSolar:null},{QuestionName:Shift Length,AnswerValue:8 Hours ,VerityZone:formtext14,QuestionType:Radio,ActualValueFromSolar:null},{QuestionName:Shift,AnswerValue:Days,VerityZone:formtext15,QuestionType:Checkbox,ActualValueFromSolar:null},{QuestionName:Work Days,AnswerValue:Monday - Friday, 8:00 am - 5:00 pm,VerityZone:formtext16,QuestionType:Text,ActualValueFromSolar:null},{QuestionName:Required Qualifications,AnswerValue:• Bachelor’s degree in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, Public Health, Biology or closely related field and 3 years of related experience; and/or equivalent experience/training u003cbru003e• Thorough skills in statistics relevant to infectious disease epidemiology, including conception, execution and interpretation of statisticsu003cbru003e• Proficiency in statistical programming in R, Python or similaru003cbru003e• Ability to balance methodological rigor with practical concerns and pace of worku003cbru003e• Skills to communicate complex information in a clear and concise manner both verbally and in writingu003cbru003e• Ability to work independently in a fast-paced environment with tight deadlines,VerityZone:formtext3,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Preferred Qualifications,AnswerValue:• Master’s degree from an accredited graduate school with a focus in statistics, Biostatistics, Mathematics, public policy or health policy, or a related fieldu003cbru003e• Doctoral-level degree such as PhD or DrPH in statistics, biostatistics, or closely related fieldu003cbru003e• Proficiency in Google Docs/Slides, Slack, MS Office, Teamsu003cbru003e• Proficiency in Adobe Illustratoru003cbru003e• Ability to translate statistical results to real-world or public health implicationsu003cbru003e• Strong ability to communicate complex information in a clear and concise manner both verbally and in writing for audiences which range in widely in their needsu003cbru003e• Ability to seek out and translate feedback for the purpose of continuous quality improvement of data productsu003cbru003e• Research skills at a level to evaluate alternate solutions and develop recommendations,VerityZone:formtext4,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:License/Certification,AnswerValue:n/a,VerityZone:formtext5,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Position Type,AnswerValue:Full Time,VerityZone:formtext6,QuestionType:radio,ActualValueFromSolar:null},{QuestionName:Department Name,AnswerValue:Institute for Global Health,VerityZone:formtext17,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Equal Employment Opportunity,AnswerValue:The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. 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