Senior Data Analyst

Tempus AI is focused on advancing the healthcare industry through precision medicine and AI technology. They are seeking an experienced Senior Data Analyst to design and execute clinical evidence studies aimed at delivering personalized care to cancer patients.

Responsibilities:

• Develop clinical data models using dbt and SQL based on business need and interoperability between existing data models, analysis requirements and data delivery requirements
• Develop reports for central monitoring, KPI metrics, visualization of study performance and
• Develop data automation pipelines for data delivery, data handling routines for post-processing of raw data for analysis-ready data sets
• Support the development and maintenance of integration of data across data marts, including management of de-identification of protected health information
• Support best practices code maintenance, validation and documentation

Requirements:

• 5+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
• Strong command of SQL and other scripting languages (R or Python)
• Experience using Business Intelligence Software such as Looker
• Experience in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university, a side project, or previous work experience
• Experience building client-ready deliverables and other outputs
• Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations
• Experience with data manipulation, cleaning, and visualization
• Excellent communication skills with demonstrated ability to communicate with diverse audiences
• Ability to take ownership of deliverables, navigate ambiguity and juggle multiple projects simultaneously
• Goal orientated, self motivated, and driven to make a positive impact in healthcare
• Thrive in a fast-paced environment and willing to shift priorities seamlessly