Data Scientist III, Biostatistics

Key Skills

Microsoft-Excel, R Programming, SAS, SQL, Tableau

Job Description

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 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, interpretation of results, development or implementation of study tracking systems, development of standards, procedures and policies for data maintenance and quality control. They will provide a strong supporting role to Principal Investigators and project managers as needed to develop grant proposals, protocols, presentations, and publications.

The ideal candidate will possess expert proficiency 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, a strong understanding and experience with epidemiologic and statistical principles, including experience performing advanced statistical analyses experience with or a strong interest in working in vaccine research, and experience with UNIX or Linux (desirable but not required).

Job Summary:

In addition to the responsibilities listed below, this individual contributor biostatistician is also responsible for contributing to the research process by leading assigned sections of grant proposals and scientific publications; assisting in the development of documentation to capture the processes and project workflows as they relate to data management and statistical methods; maintaining metrics to ensure data quality; and translating statistical and algorithmic models to aid in the drawing of conclusions about study populations.

Essential Responsibilities:

Pursues effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and members. Listens to, seeks, and addresses performance feedback; provides mentoring to team members. Pursues self-development; creates plans and takes action to capitalize on strengths and develop weaknesses; influences others through technical explanations and examples. Adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; helps others adapt to new tasks and processes. Supports and responds to the needs of others to support a business outcome.

Completes work assignments autonomously by applying up-to-date expertise in subject area to generate creative solutions; ensures all procedures and policies are followed; leverages an understanding of data and resources to support projects or initiatives. Collaborates cross-functionally to solve business problems; escalates issues or risks as appropriate; communicates progress and information. Supports, identifies, and monitors priorities, deadlines, and expectations. Identifies, speaks up, and implements ways to address improvement opportunities for team.

Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics.

Participates in the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats under the guidance of more senior data scientists by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating a working knowledge of database fundamentals.

Analyzes and investigates data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions.

Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection.

Trains statistical models under the guidance of more senior data scientists by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation.

Deploys and maintains reliable and efficient models through production.

Verifies model performance by demonstrating a working knowledge of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance.

Works with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences.

Minimum Qualifications:

• Minimum two (2) years medical or health analytics experience.
• Minimum one (1) year statistical modeling experience using SAS, R, or another advanced statistical package.
• Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field OR Minimum five (5) years medical or health analytics experience.
• Minimum two (2) years experience working with Exploratory Data Analysis (EDA) and visualization methods.
• Minimum one (1) year machine learning and/or algorithmic experience.
• Minimum two (2) years statistical analysis and modeling experience.
• Minimum two (2) years programming experience.
• Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum three (3) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements.

Preferred Qualifications:

• One (1) or more publications as an author in a medical or scientific journal.
• One (1) year experience in a leadership role with or without direct reports.
• One (1) year healthcare experience.
• One (1) year project management experience.
• One (1) year experience working in a matrixed organization.
• Two (2) years experience working with SQL.
• Two (2) years experience working with SAS.
• Two (2) years experience working with Excel.
• Two (2) years experience working with Tableau.
• One (1) year deep learning experience.
• Two (2) years study design experience.
• One (1) year experience working with the design of experiments.
• Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field.
• Two (2) years data wrangling experience.

Primary Location: California,Oakland,Ordway

Scheduled Weekly Hours: 40

Shift: Day

Workdays: Mon, Tue, Wed, Thu, Fri

Working Hours Start: 08:00 AM

Working Hours End: 05:00 PM

Job Schedule: Full-time

Job Type: Standard

Employee Status: Regular

Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee

Job Level: Individual Contributor

Specialty: Data Science

Department: Oakland Reg - 1950 Franklin - RI Center for Comm Health_Eval - 0206

Pay Range: $137200 - $177540 / year

The ranges posted above reflect the location in the job posting. The salary range may vary if you reside in a different location or state than the location posted.

Travel: No

At Kaiser Permanente, equity, inclusion and diversity are inextricably linked to our mission, and we aim to make it a part of everything we do. We know that having a diverse and inclusive workforce makes Kaiser Permanente a better place to receive health care, a more supportive partner in our communities we serve, and a more fulfilling place to work. Working at Kaiser Permanente means that you agree to and abide by our commitment to equity and our expectation that we all work together to create an inclusive work environment focused on a sense of belonging and wellbeing.

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.

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