Senior Statistician

Location: 
4150 Clement St
San Francisco, CA 94121
United States
Job Posted Date: 
November 10, 2020
Opportunities: 
Full-time Positions
Population: 
Medicine

The Senior Statistician will be a highly motivated scientific researcher with advanced statistical programming and data management skills using STATA, SAS, R, and other data science tools.  The Senior Statistician will work with a group of collegial, innovative, and productive epidemiology and health outcomes researchers and clinicians at the University of California, San Francisco, who are focused on improving the health of older persons.  Members of the research group have joint appointments between UCSF and the San Francisco VA Medical Center.  The research group highly values mutual respect and collegiality and the Senior Statistician is an essential and highly respected part of our team.  The ideal candidate will execute, manage, and coordinate research protocols, data collection and operations of several concurrent clinical research studies under the guidelines of research protocols, UCSF/SFVAMC and regulating agency policies.

The incumbent’s duties will include, but will not be limited to working in a largely independent manner with large, complex databases to derive analytic datasets; determining the optimal statistical approaches for assessing research aims; perform and interpret statistical analyses and assist with the presentation of findings; prepare the statistical sections of manuscripts and preliminary data sections for extramural grants; provide statistical programming and analysis consultation for geriatrics fellows and for junior faculty; develop study protocols and write study documentation procedures (including analysis plans, protocols and standard operating procedures); design, develop, and document quality control systems for data validation; interact with data warehouse support, research study data help desks, and extramural investigators to resolve data discrepancies and data quality questions; and perform other duties as assigned.

Essential Functions:

  • Make independent decisions both broad and detailed about data management.  Perform data management on large, complex datasets.  Acquire substantive understanding of data variables (e.g. which ICD-10 codes are typically recorded for patients with specific diagnoses; what are the formulas giving the inter-relationships of various measures of blood pressure).
  • Independently determine optimal statistical approaches to perform analyses and apply statistical approaches to large, complex analytic datasets for geriatrics faculty. 
  • Respond rapidly to statistical requests from manuscript reviewers in an independent manner.
  • Write new computer programs as necessary to implement statistical approaches used. 
  • Independently write statistical methods sections of manuscripts and data analysis sections for extramural grants.  Prepare tables and graphs for manuscripts and grant.  Assist in writing results sections of manuscripts and preliminary findings sections of grants.
  • Provide statistical consultation to geriatrics research fellows and to junior faculty.
  • Research and understand details of complex statistical modeling.  Adapt mathematical and statistical models for novel analyses of complex medical data.
  • Play a leadership role in guiding the analytic functions of the research projects in the research group.  Advise principal investigators on appropriate experimental designs and statistical tests in order that valid conclusions can be obtained.
  • Advise on database design and data input screens for primary data collection.
  • Independently develop study protocols and documentation procedures, and design, develop, and document quality control systems for data validation.
  • Serve as a liaison between the research group and data warehouse support centers, research study help desks, and extramural investigators in resolving questions about data quality, data definitions, and data discrepancies.
  • May serve as first- or co-author on publications in major medical journals, and may be required to travel to conferences for presentations/research dissemination purposes.
Job Requirements: 
  • Master’s or PhD degree in Statistics or a related field and at least five years of professional statistical experience; or an equivalent combination of education and experience; and knowledge and abilities
  • Extensive training and hands-on experience in a variety of advanced statistical modeling techniques including linear, logistic, and Poisson regression models, mixed effect modeling, Cox proportional hazards models, longitudinal analytic approaches, multiple imputation, survey-weighted analysis, propensity score methods, model selection, and contemporary statistical learning methods such as gradient boosting, random forest, and LASSO.
  • Experience in serving as an effective statistical consultant
  • Excellent skills in designing, maintaining, updating, and manipulating large databases
  • Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, and other programs
  • Ability to provide custom designed reports and graphical presentation of data using STATA, SAS, Excel or other programs
  • Expertise in systems for primary data collection such as Access and Redcap
  • Enthusiasm for learning and problem solving
  • Ability to work effectively both independently and as part of a team.
  • Strong interpersonal, organizational, teaching, and communication skills
How to Apply: 

For more information about NCIRE -- The Veterans Health Research Institute or to apply for this exciting opportunity, please visit us at www.ncire.org. You may apply directly, by cutting and pasting the below link into your browser:

https://recruiting.ultipro.com/NOR1032NCIRE/JobBoard/ae6d11d3-2f59-4e1f-8104-cb70bc41b619/Opportunity/OpportunityDetail?opportunityId=6e60c97f-03eb-4f6e-8b81-c8542e2be59c

NCIRE --The Veterans Health Research Institute is proud to be an Equal Opportunity Employer.

Per San Francisco's Fair Chance Ordinance, NCIRE - The Veterans Health Research Institute will consider qualified applicants with criminal histories

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Location: 
San Francisco
Greater Bay Area
Peninsula
California