The Division of Geriatrics seeks to recruit a full-time Senior Statistical Scientist who is an advanced, specialized bioinformatics programming professional to be the key quantitative team member for a portfolio of multiple research projects. The candidate may lead or mentor a team of bioinformatics programming professionals.
The candidate will collaborate with the Principal Investigators (PIs) in the Division of Geriatrics, as well as outside of the Division where needed, as a key scientific team member. The candidate will apply and develop complex algorithms, computational techniques, and statistical methodologies for cutting-edge medical solutions. The Senior Statistical Scientist will work with a group of collegial, innovative, and productive epidemiology and health outcomes researchers and clinicians at UCSF, who are focused on improving the health of older persons. The Division of Geriatrics highly values mutual respect and collegiality and the Senior Statistical Scientist is an essential and highly respected part of our team. The candidate will provide consultation to research teams, and will advise investigators on appropriate statistical methods and interpretation of statistics. They will develop and implement computational algorithms and software for novel analyses of complex medical data. They will also prepare manuscripts, with particular input on the advanced computational techniques and statistical methodologies, and will present them at national conferences.
Operationally, the candidate’s duties include: working with large, complex databases to derive analytic datasets; determining the optimal statistical approaches for testing research hypotheses and in programming; developing and implementing computational algorithms and software for novel analyses of complex medical data; writing first-author manuscripts for peer-reviewed journals and conference proceedings on advanced computational techniques and statistical methodologies; presenting work on complex statistical modeling and computational tools at national conferences; conducting advanced statistical analyses using SAS, STATA, and R software; developing and maintaining well-documented software and algorithms for data manipulation and analysis which are also used by other statisticians in their research projects; generating and maintaining analytic datasets from large-scale survey data and Medicare datasets, which are used in multiple research projects; assisting and training other statisticians on the myriad details of compiling and analyzing key secondary data sources (e.g. the Health and Retirement Survey; the National Health and Aging Trends Study; National Veteran’s Administration patient data) and linkage with Medicare and other databases; assisting other statisticians/programmers in identifying complex issues and software bugs in the analysis of complex data; providing statistical programming and analysis consultation for geriatrics fellows and for junior faculty; developing and implementing study protocols and writing study documentation procedures (including analysis plans, protocols and standard operating procedures); designing, developing, and documenting quality control systems for data validation, analysis algorithms, tools, and infrastructure; interacting with data warehouse support, researching study data help desks, and extramural investigators to resolve data discrepancies and data quality questions.
The Division of Geriatrics’ work is grounded in a deep commitment to and respect for older persons. We are specialists in aging. Our expertise is in optimizing the health of older individuals. We're committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. We work in the community and on virtually every UCSF campus – Parnassus, San Francisco Veterans Affairs Medical Center, Zuckerberg San Francisco General Hospital, Mission Bay, and UCSF Center for Geriatric Care. The division has approximately 50 faculty, 17 volunteer clinical faculty, 16 fellows, 50 staff and 5 volunteers.
• Bachelor's degree with a major in statistics or a related field and five years of professional statistical experience; or an equivalent combination of education and experience; and knowledge and abilities essential to the successful performance of the duties assigned to the position
• In-depth knowledge of bioinformatics and statistical methods, computational tools and software to analyze and interpret complex medical research data
• In-depth knowledge of bioinformatics programming design, modification and implementation; in-depth knowledge of algorithms, advanced computational techniques, and statistical methodologies using R, SAS, and Stata
• In-depth knowledge of Windows, excellent skills in designing, maintaining, updating, and manipulating large and complex databases
• Advanced understanding of relational databases, web interfaces and operating systems; advanced understanding of large-scale survey data such as HRS (Health and Retirement Survey) and ELSA (English Longitudinal Study on Ageing) and Medicare databases
• Advanced project management skills and in-depth knowledge of research functions
• In-depth knowledge of modern medical concepts and research on aging and health of older adults
• Advanced interpersonal skills in order to provide consultation to high-profile investigators, junior faculty, other statisticians, and non-technical personnel
• Advanced analytic skills and ability to communicate complex information in a clear and concise manner both verbally and in writing
• Advanced ability to work effectively both independently and as part of a team. Advanced ability to provide management with regular updates on projects and to lead and train statisticians in the specifics of data sources and statistical methods commonly used in our research
• Ability to take the lead on projects, meet deadlines, evaluate alternative solutions, and demonstrate advanced problem-solving skills
• Master’s or PhD degree in statistics or related field
• Understanding of the policies and procedures at the University, but also at the San Francisco Veterans Affairs Medical Center (SFVAMC), where they may do some of their statistical work. They must also understand the rules and procedures necessary to conduct statistical analysis on a longitudinal cohort and for randomized control trials. They must also know all study and the Committee on Human Research (CHR) protocols for collecting and managing data, and for ensuring confidentiality of all participants
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. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu
Join us to find a rewarding career contributing to improving healthcare worldwide.
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.
Job Code and Payroll Title
005933 BIOINFORMATICS PROGR 4
Mission Bay (SF), San Francisco VA Medical Center
Additional Shift Details
90% variable, Monday - Friday, 8:00 am - 5:00 pm (hours may vary)
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