Onsite Data Scientist (R/Python) - Epidemiology

Kaiser Permanente; Pasadena (CA); On-site; USD 87,000 - 113,000; Full time

Job summary

Kaiser Permanente in Pasadena, CA seeks an R and Python Programmer / Data Scientist to support epidemiologic research through analytical programming, data management, quality control, and reporting. In this onsite role in Pasadena, CA, you will help transform large datasets into analytic-ready inputs and contribute to data analysis, visualization, and automated reporting solutions.

The position is full-time, 40 hours/week, with 5% travel and a focus on privacy and data integrity in a healthcare

Qualifications

• Minimum 1 year experience programming with SAS, SQL, R or another similar analytical programming language.
• Bachelor’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR minimum 2 years experience in data analytics or a directly related field.

Responsibilities

• Complete assignments by applying up-to-date subject knowledge to meet deadlines, following procedures and policies, and using data and resources to support projects.
• Collaborate with others, often cross-functionally, to solve business problems, communicate progress and information, and recommend improvement opportunities when possible, escalating issues as needed.
• Organize and edit reports and presentations to support interpretation of data analysis and help stakeholders make informed decisions.
• Under guidance from more senior employees, support data-informed decisions by working with clients to identify and clarify business needs, assisting with outcomes and process measures, and translating business requirements into data needs.
• Gather targeted variables using a systematic approach, including cleaning and organizing data, querying, merging, and extracting data across sources, completing routine data refresh and updates, and providing user support and documentation.
• Support analytic preparation by cleaning data to ensure quality and accuracy based on provided guidelines, and consolidating datasets.
• Assist with execution of analytical approaches that lead to actionable outcomes by organizing metrics to analyze, calculating algorithms, performing basic analyses, and preparing descriptive statistics under guidance.
• Contribute to business and reporting solution development by creating summary statistics, preparing data reports and visualizations and/or interactive BI reports, identifying opportunities to improve existing reporting, and preparing documentation.

Skills

SAS

SQL

R

Python

Education

Bachelor's degree in Math/Stats/Engineering/Science/Business

2+ years data analytics experience

Tools

SAS

SQL

R

Python

Job description

Kaiser Permanente in Pasadena, CA seeks an R and Python Programmer / Data Scientist to support epidemiologic research through analytical programming, data management, quality control, and reporting. In this onsite role in Pasadena, CA, you will help transform large datasets into analytic-ready inputs and contribute to data analysis, visualization, and automated reporting solutions.

The position is full-time, 40 hours/week, with 5% travel and a focus on privacy and data integrity in a healthcare