Job Summary:

The Biostatistician Analyst position will support the Kaiser Permanente Bernard J. Tyson School of Medicine (KPSOM) by by providing a wide range of statistical expertise, guidance and research in collaboration with various individuals The Biostatistician Analyst is responsible for the development and execution of statistical analysis plans, larger data sets and current and future new studies conducted by KPSOM. These may include controlled trials and cohort studies, psychometric analyses, econometric designs, and meta-analyses. This position will guide study design and methodology, including appropriate statistical measure selection.

Essential Responsibilities:

+ Initiates, coordinates, and facilitates analytical projects to achieve study and programmatic objectives.

+ Contributes to peer-reviewed manuscripts for publication in leading health journals.

+ Designs and executes statistical analysis plans for studies that include the following approaches: prospective randomized controlled trials and cohort studies; epidemiological studies; secondary analysis of existing large national, state, and health system datasets; mixed methods analyses; psychometric analyses; econometric designs for causal inference; and meta-analysis, among others.

+ Identifies, evaluates, and implements appropriate measures for specified analytical project objectives, such as health, educational, and behavioral outcomes; utilization and cost; quality of and access to care; equity and disparities.

+ Supports development of grant proposals including study design, analysis of preliminary data, sample size calculations, etc.

+ Advises on the development and testing of data collection tools and methods.

+ Determines optimal approaches to summarizing data and communicating analytical results.

+ Creates written reports and presentation materials describing project methods, data, and results.

+ Determines the most efficient approach to data collection and validation.

+ Works independently to obtain needed data from KP information systems based on project or task data requirements

+ Builds databases and extracts, loads, cleans, and manipulates data relevant to existing and future research, scholarly, educational and/or administrative projects.

+ Implements specified quality assurance procedures to ensure accuracy of project data, results, written reports, and presentation materials.

+ Trains and coaches' other data analysts on data retrieval techniques, programming practices, and statistical analysis and data visualization methods in the context of specific tasks.

Basic Qualifications:

Experience

+ Minimum three (3) years of related work experience

+ Minimum one (1) year of related work experience in combination with a PhD degree in biostatistics or related fields

Education

+ Masters degree in biostatistics or related fields.

License, Certification, Registration

+ N/A

Additional Requirements:

+ Knowledge in relevant scientific field.

+ Knowledge of research techniques or methods

+ Analytical, problem-solving skills.

+ Attention to details.

+ Ability to write clearly and concisely in English.

+ Ability to create formal statistical analysis plans for research studies.

+ May be required to travel for work up to 5% of the time.

Preferred Qualifications:

+ Minimum five (5) years of work experience in a related field

+ Experience with Kaiser Permanente data systems and the ability to pull, manage, and analyze KP data from multiple regions

+ Experience using R, Python, SAS, and/or STATA

+ Experience with intramural and extramural research funding

+ Familiarity with Kaiser Permanente health care system

COMPANY: KAISER

TITLE: Biostatistician Analyst-School of Medicine

LOCATION: Pasadena, California

REQNUMBER: 1304697

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, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.