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Research Data Analyst - School of Medicine

Primary Location Pasadena, California Schedule Full-time Shift Day Salary $84900 - $109780 / year

Job Number 1354690 Date posted 05/13/2025

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Job Summary:

The Research Data Analyst provides research methods consultation, data management, statistical analysis and report generation for the Kaiser Permanente Bernard J Tyson School of Medicine (KPSOM). The Research Data Analyst supports scholarly projects of varying complexity in a variety of health-related research areas. The Research Data Analyst provides analytic support to enable successful research as part of curricular requirements for students and to advance faculty research.

Essential Responsibilities:

With support from senior staff, determines and implements appropriate measurement and analytical methods to achieve analytical project objectives.
Coordinates with other project team members (statisticians, project managers, and other data analysts) to accomplish analytical project objectives.
Plans for optimal approaches to summarizing data and communicating analytical results. Develops, as required, innovative or customized templates and formats.
Evaluates quality assurance procedures to ensure accuracy of project data, results, written reports, and presentation materials.
Determines efficient approaches to data collection and validation. Extracts, loads, cleans and manipulates data for research projects. Identifies and resolves data quality issues, as required.
Designs and creates written reports and presentation materials describing project objectives, methods, data, and results. Contributes to peer-reviewed manuscripts for publication.
Comprehensively documents, organizes, and files analyses and results for retention of records related to research.
Demonstrates effective data retrieval techniques, programming practices, and statistical analysis and data visualization methods.
Develops detailed measurement and reporting specifications based on project characteristics and requirements provided by project leadership.

Basic Qualifications:

Experience

Minimum one (1) related years of work experience.

Education

Masters degree.

License, Certification, Registration

Additional Requirements:

Experience using R, Python and/or SAS
Disciplinary training in quantitative measurement methods (mathematics or statistics), ideally in the context of a quantitative social science or health services research.
Demonstrated effectiveness in written and verbal communication of technical material.
Demonstrated effectiveness working as a member of a technical project team on complex projects.
Experience with analysis of large databases (e.g. health care administrative data) and computer-intensive statistical analysis, multivariate statistical methods, general research methodology.
Skills in analytical methods including problem and model formulation, algorithm selection, and development of overall solution strategy.
Creativity, critical thinking, and excellent problem-solving skills.
Outstanding written and verbal communication and effective interpersonal skills

Preferred Qualifications:

Minimum five (5) related years of work experience (i.e. in an analytical environment, preferably in healthcare, education or research).
Minimum 1-2 years of analyst work experience preferably in healthcare, education or research).
Knowledge of healthcare industry, especially healthcare analytics preferred.
Familiarity with Kaiser Permanente healthcare system preferred.

Primary Location: California,Pasadena,S. Los Robles Administration Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:30 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Worker Location: Flexible Employee Status: Regular Employee Group/Union Affiliation: NUE-PO-01|NUE|Non Union Employee Job Level: Individual Contributor Department: SCHOOL OF MEDICINE - Research and Scholarship - 9201 Pay Range: $84900 - $109780 / year Travel: Yes, 5 % of the Time

Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.

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