R and Python Programmer / Data Scientist, Epidemiologic Research (Durational with Benefits)

NOTE: Although this position is largely remote, candidates are required to live in the state of California (CA).

In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes.

Essential

Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.

Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making. Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.

Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation. Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics. Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

Qualifications 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 Knowledge, Skills and Abilities: (Functional) SAS Tools SQL/SAS Data Mining Data Visualization Tools Statistical Programming Language Written Communication

Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language. Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.

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 machine learning experience. One (1) year experience working with business intelligence tools. One (1) year experience working with Open Source Tools (e g , R, Python).

Scheduled Weekly Hours: 40

Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:00 AM Working Hours End: 05:00 PM Job

Full-time Job Type: Standard Employee Status: Regular Worker Location: Flexible Employee Group/Union Affiliation: NUE-SCAL-01|NUE|Non Union Employee Job Level: Individual Contributor Department: Department of Research and Evaluation

$87200 - $112750 / year Travel: No