Research Data Analyst 2
Research Data Analyst 2
Job Number: 75747
Stanford University's Division of Primary Care and Population Health is seeking a Research Data Analyst 2 to contribute to evaluations of health care delivery innovations and studies of health system change, chronic disease management, and patient facing eHealth technology. The analyst will use SQL and SAS to develop, merge, and manage datasets, and conduct statistical analyses for health services research projects aligned with national health priorities.
- Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
- Determine additional data collection and reporting requirements.
- Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
- Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
- Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
- Provide documentation based on audit and reporting criteria to investigators and research staff.
- Proficiency in SQL and SAS or other statistical software (e.g., STATA, R), Windows/OS, Word, Excel, PowerPoint.
- Ability to use statistical and database computer programs to construct and manage datasets and databases relevant to research projects
- Experience with organizing and summarizing results using tabular or graphic representations as well as narrative description.
- Ability to undertake assigned tasks in support of research needs which may include: measure development, attending study meetings, assisting in administrative or data editing tasks, consulting with other teams, and serving as a consultant on programming topics.
- Preferred: Master's degree in statistic or health field (e.g., Statistics, Biostatistics, Public Health, or related field with coursework in data management and statistics)
Proficiency in SQL and SAS or other statistical software (e.g., STATA, R), Windows/OS, Word, Excel, PowerPoint. Experience with data management, including creating and merging data from large datasets using software such as SQL. It is preferred that candidates have a master's degree in statistics or a health field (e.g., Statistics, Biostatistics, Public Health, or related field with coursework in data management and statistics).
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Substantial experience with MS Office and analytical programs.
- Excellent writing and analytical skills.
- Ability to prioritize workload.
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
Some work may be performed in a laboratory or field setting.
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Location: School of Medicine
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.