Research Data Analyst 2

The Center for Population Health Sciences (PHS) at Stanford University School of Medicine is seeking a Research Data Analyst 2 for data management, data analysis, and data science work focused on population health and health equity serving the American Family Cohort Consortium. The American Family Cohort (AFC) is a national EHR dataset comprised of over 7 million unique individuals from a variety of sources. These data have been used for research in health economics, health services and health equity. We seek an individual with an interest in population health and primary care, health equity, quality and continuity. The ideal applicant will have experience in AI, ML or NLP in EHR data or a strong interest in applying these methods to primary care.

This position will be primarily responsible for managing and analyzing AFC, a large, rich, national EHR dataset. The applicant should be comfortable with data management and cleaning and statistical analyses. The Research Data Analyst is expected to be exposed to working in the cloud environment and learning machine learning techniques. The role requires working independently with minimal supervision, as well as communicating results in code, orally, and in writing to internal and external researchers and stakeholders. This position will also be expected to curate and create new derivative datasets and perform data management procedures, including data security, as well as train and update other researchers and staff on these procedures. In addition, the position requires project management skills helping to move projects along for internal and external collaborators and assisting in the design and management of new projects. This position provides ample opportunity for first author publications.

About Center for Population Health Sciences

Founded in 2015, the Stanford Center for Population Health Sciences' (PHS) mission is to improve population health by bringing together diverse disciplines and data to better understand and address the social and environmental determinants of health. This position will work with PHS’s most valuable datasets to advance the goal of reducing premature morbidity and mortality and disparities in health outcomes.

Duties include:

• Prioritize and extract data from a variety of source including a large, national, granular, high value health dataset held by PHS. These datasets include EHRs, claims, survey data, medical reports, and laboratory data. The position will be expected to perform quality checks and ensure data are accurate and complete.
• Determine additional data collection and reporting requirements.
• Design and customize reports based upon data in the database. Monitor regulatory compliance for utilization of the data.
• Perform data quality checks 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.

* - Other duties may also be assigned

DESIRED QUALIFICATIONS:
• Minimum 2 years of experience with Python programming and its data analysis packages.
• Expertise in SQL for data management and data analysis.
• Expertise and experience conducting statistical analyses.
• Experience using cloud environment such as Google Cloud or AWS is a plus.
• Experience working with large datasets is a plus.
• Academic or practical training in public health epidemiology, research methodology, database construction, and biostatistics is a plus.

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.
• Ability to clearly and concisely communicate ideas during meetings and in presentations, tailoring technical aspects of the work to the particular audience.

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS:

• 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.

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.

This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $75,752 to $104,385 per annum/hour.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.