Kaiser Permanente

“Embedded within Kaiser Permanente Northern California’s Division of Research, the Kaiser Permanente Vaccine Study Center (KPVSC) is a leader in evaluating vaccines with a long history of collaboration with multiple federal agencies, particularly the CDC's Immunization Safety Office.. We are currently seeking an experienced Data Scientist/statistician to provide high-level analytic and statistical support for a portfolio of studies focused on vaccine research.. Minimum five (5) years statistical modeling experience using SAS, R, or another advanced statistical package.. Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum eight (8) years experience in data analytics or a directly related field.. Knowledge, Skills, and Abilities (KSAs): Internal or External Publication; Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management

analytics consultant

Job Summary “Embedded within Kaiser Permanente Northern California’s Division of Research, the Kaiser Permanente Vaccine Study Center (KPVSC) is a leader in evaluating vaccines with a long history of collaboration with multiple federal agencies, particularly the CDC's Immunization Safety Office. The KPVSC has also been engaged in Phase II, III, and IV vaccine trials, collaborating with the pharmaceutical industry and FDA to help bring new vaccines into licensure and then to evaluate and ensure their safety. Most recently, the KPVSC has been heavily involved in performing clinical trials to bring COVID-19 vaccines to market and after they were in use, monitoring their safety and effectiveness through national collaborative research projects. Currently, KPVSC has a team of over 40 individuals, including programmer analysts, project managers, research assistants, nurses, and physicians. We are currently seeking an experienced Data Scientist/statistician to provide high-level analytic and statistical support for a portfolio of studies focused on vaccine research. More information about the KPVSC can be found at: http://vaccines.kaiser.org This position would assume a senior data role within our research group with responsibilities including independent analytic database development, data analysis and reporting, statistical consultation and methods development, interpretation of results, contribution to manuscripts/report writing. They will provide a strong supporting role to Principal Investigators and project managers as needed to develop statistical methods/results sections of grant proposals, protocols, presentations, and publications. The ideal candidate will possess training in multiple statistical methods and epidemiological principles and a strong interest in working in vaccine research. They will have experience in SAS, and/or R, the ability to perform data transformation and extraction from multiple administrative and clinical records databases, experience with creation, analytical manipulation, and interpretation of large databases – preferably with strong experience performing advanced statistical analyses and consulting on study design and methodological considerations. “ In addition to the responsibilities listed below, this position is also responsible for contributing to the publication process by writing method and results sections completely and independently; documenting processes and decision points; and outlining procedures This position is also responsible for writing and compiling manuals; overseeing the quality control effort; writing complex macros and distributable programs; creating advanced statistical models including identifying and appropriately addressing when assumptions have been violated; reviewing data for potential error, mistakes, and data quality issues; and breaking approved proposals into process steps. Essential Responsibilities Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback.
Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.
Interprets complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; participating in peer reviews; and providing context related to data interpretations and/or limitations as appropriate.
Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; creating complex models leading to actionable insights; and testing, refining, and validating models.
Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics.
Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.
Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and documentation.
Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables. Minimum Qualifications Minimum three (3) years experience statistical consulting.
Minimum two (2) years medical or health analytics experience.
Minimum five (5) years statistical modeling experience using SAS, R, or another advanced statistical package.
Minimum three (3) years experience in a leadership role with or without direct reports.
Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum eight (8) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Additional Requirements Knowledge, Skills, and Abilities (KSAs): Internal or External Publication; Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management Primary Location: California,Oakland,2000 Broadway Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 09:00 AM Working Hours End: 05:30 PM Job Schedule: Full-time Job Type: Standard Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201
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