Research Health Economist

The Stanford Surgery Policy Improvement Research and Education (S-SPIRE) Center is seeking a Research Health Economist to independently design studies, analyze data, and disseminate findings. Independently work with investigators on proposal or grant development. Take the statistical lead on studies. Oversee biostatisticians in the lower levels on data cleaning and creation of analytic files. Lead statistical projects related to collaborations on topics including statistical software, and evaluation of methods.

Duties include:

Oversee lower-level staff on quality control.
Oversee lower-level staff on creation of analytic files.
Identify appropriate statistical tools for analysis.
Implement data analysis through statistical programming.
Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design.
Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
Help develop grant proposals to seek funding from national agencies including VA, National Institutes of Health and the Agency for Healthcare Research and Quality.

– Other duties may also be assigned

EDUCATION & EXPERIENCE (REQUIRED):

Master’s degree in economics, statistics or related field and at least 5 years of experience or Ph.D. in economics, statistics or related field.

DESIRED QUALIFICATIONS:

Experience with econometric methods for addressing selection bias and endogeneity
Experience with Medicare data
Experience analyzing Medicare data to understand factors that affect readmissions
Experience with large national claims datasets including Veterans Affairs, Optum, Medicaid,
Experience with national data such as Medicare Beneficiary Survey, Census data, vital status, Medical Expenditure Panel Survey and Health and Retirement Survey.
Experience with python

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

Proficient in at least two of R, SAS, STATA, Matlab
Skills in descriptive analysis, statistical modeling of data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as regression discontinuity, instrumental variables, missing data, survival analysis, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).

PHYSICAL REQUIREMENTS*:

Frequently perform desk based computer tasks, seated work and use light/ fine grasping.
Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

– 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.

WORKING CONDITIONS:

May work extended or non-standard hours based on project or business cycle needs.