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Kaiser Permanente Careers

Research & Development

Innovation in Practice

Operating one of the industry’s largest and most respected research programs, Kaiser Permanente employs nearly 1,800 research experts at 9 specialized centers across the country. With a research budget of $221 million and more than 2,500 studies and clinical trials underway at any given time, this is a place where you can have a profound impact on the future of health.

Data Scientist (SAS / R Programmer - Data Mining)

Location: San Diego, CA Additional Locations:
Job Number: 798999 Date posted: 06/17/2019
Description:

Performs advanced data design and analysis using the Electronic Medical Record (EMR) to create new knowledge useful to KP and outside organizations. Extracts and cleans large volumes of healthcare data across dozens of sources. Applies expert statistical methodologies to clinical outcomes. Partners effectively with physicians, other clinicians, software engineers and business managers to communicate findings using data visualization techniques.



Essential Functions:
- Works with physicians, epidemiologists, statisticians, business managers, and software engineers, to formulate and scope questions and translate knowledge into care transformation.
- Develops algorithms and predictive models to solve critical health service problems.
- Influences a general audience to understand the quality, completeness, and appropriate use of data.
- Provides advice about choice of statistical approaches, performs statistical analysis.
- Develops tools and libraries to create efficiencies for future work.
- Develops systematic approaches to assure data validity.
- Identifies new sources of data within the electronic medical record that will improve information about target diseases and clinical processes.
- Establishes links across existing data sources; processes large volumes of data needed for complex research/operational studies.
- Trains Data Consultants and other data workers.

Basic Qualifications:
Experience
- Minimum eight (8) years of work experience using medical or healthcare data.
- Minimum eight (8) years of working with relational databases and SAS or R.
- Minimum eight (8) years of experience in multivariate data analysis commonly used in epidemiology, including logistic regression, linear regression, cluster analysis, Cox proportional regression, GEE, and hierarchical models.
- Minimum eight (8) years of experience writing and executing complex SQL queries to extract/process/report data.
- Minimum eight (8) years of experience with statistics software (e.g., SAS, R).
- Minimum eight (8) years of experience building and validating algorithms.
- Minimum five (5) years of experience with text search and Natural Language Processing.
- Minimum five (5) years of experience with visual analytic tools (e.g., SAS VA, Tableau).
- Minimum five (5) years of experience using tools and applications for very large, complex datasets (e.g., Hadoop, Python, Java, Spark).
- Minimum eight (8) years of experience with sampling methodologies, including resampling (e.g., boot-strapping).
- Minimum eight (8) years of experience with very large datasets (millions of patients; thousands of variables).
Education
- Master's degree required in a quantitative health field (epidemiology, math/statistics, bioinformatics).
License, Certification, Registration
- N/A
 
Additional Requirements:
- Demonstrated ability to design and lead complex analytic projects
- Demonstrated understanding of clinical care, health outcomes, and medical terminology
- Advanced training in statistics (degree or continuing education)
 

Preferred Qualifications:
- Minimum five (5) years experience using the Epic electronic medical record for research studies; experience linking across tables and across Epic and measurements from other clinical instruments.

- PhD in a quantitative health field (epidemiology, math/statistics, bioinformatics).
- Training in data visualization. 

- Experience with AI/Machine Learning.

Primary Location: California,San Diego,California Service Center - Rio S.D. 8954 Rio San Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: Varies Working Hours End: Varies Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: Salaried, Non-Union, Exempt Job Level: Individual Contributor Job Category: Research and Development Department: Surgical Outcomes & Analysis Travel: Yes, 25 % of the Time Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.

External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.

About Research & Development Careers

Careers in Research & Development

Recognized worldwide for their scientific expertise, our researchers collect data on topics including cardiovascular disease, diabetes, mental health, and drug safety — just to name a few.

In addition to studies centered at these facilities, our physicians and researchers conduct clinical trials of new drugs, medical devices, and other therapies through several organized centers and independently at single sites. Put together, Kaiser Permanente's research centers and scientists comprise one of the largest and most comprehensive nonacademic research programs in the United States.

As a member of this team, you'll engage in meaningful work that has the power to affect outcomes and improve global health. Focused on areas like public-sector health services, epidemiology, and behavioral and clinical research, the work you do will ultimately allow us to improve the cost effectiveness and quality of the care we deliver — all while saving lives.

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