Senior Biostatistician – Data Reporting & Analytics Lead

Kaiser Permanente; Pasadena (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

KAISER Permanente in Pasadena, California, seeks a Biostatistician Data Reporting & Analytics Consultant V in the Clinician Research Division. The role focuses on advanced analytics, model development, data quality, and publication processes while supporting research-informed care improvements.

Responsibilities include creating complex models, interpreting results for stakeholders, and automating reporting solutions.

Qualifications

• Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Two (2) years regulatory experience.
• Three (3) years experience with statistical analysis software (SAS, R, Python).
• Three (3) years experience with data extraction and manipulation language.
• Three (3) years experience with data visualization tools.
• Two (2) years health care experience.

Responsibilities

• Leads the development of advanced analytical and/or statistical models for informed decisions.
• Interprets complex data analyses and communicates insights to stakeholders.
• Prepares data for analytic efforts by ensuring quality and accuracy.
• Drives data-informed decisions across functional and clinical areas.
• Designs and automates reporting solutions and BI dashboards.

Skills

Attention to Detail

Critical Thinking

Communication

Problem Solving

Data Quality

Data Visualization Tools

Teamwork

Written Communication

Education

Doctorate degree in Mathematics, Statistics, Engineering, or related field

Tools

SAS

R

Python

Job description

KAISER Permanente in Pasadena, California, seeks a Biostatistician Data Reporting & Analytics Consultant V in the Clinician Research Division. The role focuses on advanced analytics, model development, data quality, and publication processes while supporting research-informed care improvements.

Responsibilities include creating complex models, interpreting results for stakeholders, and automating reporting solutions.