Kaiser Permanente is hiring 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.
Salary: USD 87,200 - 112,750 per year
Schedule: Full-time, Day shift, Monday through Friday (40 hours/week), 08:00 AM to 05:00 PM
Travel: Yes, 5% of the time
Employee status: Regular, Non Union Employee (NUE-SCAL-01|NUE)
What you will do
- 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.
Requirements
- 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.
Technologies
SAS, SQL, R, Python, SPSS, and Business Intelligence (BI)
Preferred qualifications
- One (1) year relational database experience.
- One (1) year experience working with data visualization tools.
- One (1) year experience working with SQL.
- One (1) year experience working with open source tools (e.g., R, Python).
Knowledge, skills, and abilities
Core: Ambiguity/Uncertainty Management, Attention to Detail, Business Knowledge, Communication, Critical Thinking, Cross-Group Collaboration, Decision Making, Dependability, Diversity, Equity, and Inclusion Support, Drives Results, Facilitation Skills, Health Care Industry, Influencing Others, Integrity, Learning Agility, Organizational Savvy, Problem Solving, Short- and Long-term Learning & Recall, Teamwork, Topic-Specific Communication
Functional: SAS Tools, SQL/SAS, Data Mining, Data Visualization Tools, Statistical Programming Language, Written Communication
Principles of Responsibility and compliance
This position consistently supports compliance with Kaiser Permanente’s Principles of Responsibility (Code of Conduct) by maintaining privacy and confidentiality, protecting organizational assets, acting with ethics and integrity, reporting non-compliance, and following applicable federal, state, and local laws and regulations, accreditation and licensure requirements (where applicable), and Kaiser Permanente policies and procedures.
The role includes at least occasional or possible access to: (1) patients, the general public, or other employees; (2) confidential protected health information and other confidential KP information; (3) KP property and assets (e.g., electronic assets, medical instruments or devices); and (4) controlled substances regulated by federal law or potentially subject to diversion.
