Stanford University’s Clinical Excellence Research Center (CERC) strives to lower the cost of excellent healthcare in the United States by designing, pilot testing, and evaluating innovative models of care delivery. To accomplish this in part, CERC works with sponsors and national collaborators on its Bright Spots program of research derived from positive deviance approaches. Critical to this work are quantitative research inquiries to help identify “Bright Spots” in diverse care delivery models. To enhance this work, CERC is embarking on an exciting expansion of its data-based healthcare research resources. CERC is now looking for a Data Analyst to support these efforts. The Data Analyst will process a wide variety of complex healthcare data from various sources to produce analytical datasets for addressing a variety of innovative CERC research questions.
- Creating complex, logical code using SQL and other programs to query large relational databases and extract files into analysis-ready datasets for addressing a variety of CERC-relevant research questions
- Working closely with the senior biostatistician, faculty and research staff at CERC to ensure variables extracted are in a format to address multiple research questions
- Devising, implementing and documenting comprehensive data quality checks to ensure data are clean and ready for analysis
- Researching and reconciling data discrepancies occurring among various information systems and reports
- Writing code to restructure extracted datasets and evaluation survey datasets for additional analyses while working closely with the CERC senior biostatistician, faculty and research staff
- Construct new variables and scales for analysis and conduct reliability and validity checks
- Collaborate in writing evaluation and data analysis plans
- Create reports and data visualizations of analysis results
- Create well-organized codebooks and other data documentation files
- Assist in communicating data attributes to CERC faculty and research staff
- Create internally shareable datasets for use by fellows and other CERC faculty and research staff
- Create final externally shareable datasets for partners
- Oversee dataset version control
- Serve as liaison with staff maintaining external database
- Other duties may also be assigned
- Experience with programming languages such as SQL or Python for querying large, relational databases, and using those skills in an externally created dashboard/sandbox
- Experience with acquisition and integration of data and codebooks from other sources and locations
- Experience cleaning, restructuring and merging datasets
- Bachelors or graduate degree in quantitative discipline such as statistics, health economics, public health, public policy, computer science
- Experience collaborating with clinical investigators on research in health services, public health or related discipline
- Familiarity with statistical packages like SAS, SPSS, Stata (preferred) or R (preferred)
- Ability to clearly communicate technical information to technical and non-technical audiences
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree or a 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.
- Strong writing and analytical skills.
- Ability to prioritize workload.
CERTIFICATIONS & LICENSES:
- Project management or healthcare quality improvement certifications preferred.
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
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.
Job Family: Information Analytics
Job Series: Research Data Analyst
Job Code: 4751