Job Description:
The Data Manager will be responsible for managing SAS databases and performing complex statistical analyses for prostate cancer research studies at the UCSF. This position requires proficiency with the SAS programming language to create, document, validate, process, and maintain statistical programs that generate analysis datasets with high quality. The Data Manager will be responsible for ensuring secure and timely processing of electronic data submissions from research sites, establishing quality assurance procedures, and providing technical assistance to research collaborators. This position will also be responsible for interpreting study data, developing tables, graphs, preparing data sets for statistical analysis, and contributing to analyses for reports and publications under the direction of the PI and Lead Statistician. The Data Manager will also present study progress and results on national web conferences and face-to-face meetings and must have the ability to communicate in the areas of statistical analysis and evaluation methodology with research collaborators at all levels of expertise. Occasional travel will be required.
DEPARTMENT OF MEDICINE
The Department of Medicine, with annual revenues of $417 million, is the largest department in the UCSF School of Medicine. The mission of the Department is research (basic and clinical), teaching, patient care, and public service.
ABOUT UCSF
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.
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. Required Qualifications:
• Bachelor’s degree in Computer / Computational / Data Science with computer / computational / data specialization or equivalent experience
• Expertise with MS Excel, MS Access, SQL/Visual Basic, and SAS, STATA, and R programming languages
• Thorough experience with generalized linear models, sample size calculations, hypothesis testing, parameter estimation, sensitivity and specificity analysis, and inter-rater agreement
• Experience preparing tables, charts, and graphs of study data for use in publications and presentations
• Knowledge in the areas of epidemiology and intervention study design
• Previous applied knowledge of clinical research regulations, including IRB, HIPAA, and data security policies and procedures
• Data management experience with large multi-site studies
• Previous experience in an academic research unit interfacing with research teams and faculty
• Ability to interact and collaborate effectively with a wide range of team members, including senior level investigators, statisticians, programmers, and colleagues at partnering universities and health care settings
• Demonstrated ability to provide clear instructions and technical assistance to research collaborators both verbally and in writing
• Proven ability to successfully work on multiple concurrent projects
• Proven ability to take initial direction from others and complete work independently
* Note: Fingerprinting and background check required.
Preferred Qualifications:
• Master’s degree, with specific coursework in a mix of evaluation, research methods, and quantitative analysis
• Advanced experience using complex statistical analysis techniques (Generalized Estimating Equations, Multiple Imputation, Inverse Probability Weighting) to adjust for confounding, clustering and missing data
• Experience working independently to create research methodology and analysis plans for a variety of data sets for comparison and analysis that are not from uniform interventions or populations
• Broad knowledge of basic prostate cancer concepts, clinical practices, and treatmentJob Information Position Type: Bioinformatics Database Programmer/Analyst Reference (Job ID number): 44284BR Start Date: ASAP Duration: Full Time Status: openContact InformationUCSF
Medicine / Hematology / Oncology
Jack Youngren
jack.youngren@ucsf.eduhttps://sjobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp?jobId=2238005&PartnerId=6495&SiteId=5226&codes=INDHow To Apply:Apply via the provided URL.
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Data Manager, Bioinformatics Programmer IIIUCSFMedicine / Hematology / OncologySan Francisco, CA USA JOB OVERVIEWThe Data Manager will be responsible for managing SAS databases and performing complex statistical analyses for prostate cancer research studies at the UCSF. This position requires proficiency with the SAS programming language to create, document, validate, process, and maintain statistical programs that generate analysis datasets with high quality. The Data Manager will be responsible for ensuring secure and timely processing of electronic data submissions from research sites, establishing quality assurance procedures, and providing technical assistance to research collaborators. This position will also be responsible for interpreting study data, developing tables, graphs, preparing data sets for statistical analysis, and contributing to analyses for reports and publications under the direction of the PI and Lead Statistician. The Data Manager will also present study progress and results on national web conferences and face-to-face meetings and must have the ability to communicate in the areas of statistical analysis and evaluation methodology with research collaborators at all levels of expertise. Occasional travel will be required.
DEPARTMENT OF MEDICINE
The Department of Medicine, with annual revenues of $417 million, is the largest department in the UCSF School of Medicine. The mission of the Department is research (basic and clinical), teaching, patient care, and public service.
ABOUT UCSF
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.
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. Required Qualifications:
• Bachelor’s degree in Computer / Computational / Data Science with computer / computational / data specialization or equivalent experience
• Expertise with MS Excel, MS Access, SQL/Visual Basic, and SAS, STATA, and R programming languages
• Thorough experience with generalized linear models, sample size calculations, hypothesis testing, parameter estimation, sensitivity and specificity analysis, and inter-rater agreement
• Experience preparing tables, charts, and graphs of study data for use in publications and presentations
• Knowledge in the areas of epidemiology and intervention study design
• Previous applied knowledge of clinical research regulations, including IRB, HIPAA, and data security policies and procedures
• Data management experience with large multi-site studies
• Previous experience in an academic research unit interfacing with research teams and faculty
• Ability to interact and collaborate effectively with a wide range of team members, including senior level investigators, statisticians, programmers, and colleagues at partnering universities and health care settings
• Demonstrated ability to provide clear instructions and technical assistance to research collaborators both verbally and in writing
• Proven ability to successfully work on multiple concurrent projects
• Proven ability to take initial direction from others and complete work independently
* Note: Fingerprinting and background check required.
Preferred Qualifications:
• Master’s degree, with specific coursework in a mix of evaluation, research methods, and quantitative analysis
• Advanced experience using complex statistical analysis techniques (Generalized Estimating Equations, Multiple Imputation, Inverse Probability Weighting) to adjust for confounding, clustering and missing data
• Experience working independently to create research methodology and analysis plans for a variety of data sets for comparison and analysis that are not from uniform interventions or populations
• Broad knowledge of basic prostate cancer concepts, clinical practices, and treatmentJob Information Position Type: Bioinformatics Database Programmer/Analyst Reference (Job ID number): 44284BR Start Date: ASAP Duration: Full Time Status: openContact InformationUCSF
Medicine / Hematology / Oncology
Jack Youngren
jack.youngren@ucsf.eduhttps://sjobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp?jobId=2238005&PartnerId=6495&SiteId=5226&codes=INDHow To Apply:Apply via the provided URL.
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Additional Info:
[Click Here to Access the Original Job Post]