Data Analyst, Cardiology Informatics

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We now have more healthcare data than ever before, but providers often do not have the systems or expertise to make sense of all of this valuable data. At Tempus, we are building the infrastructure to modernize and enhance clinical treatment. We are on a mission to redefine how data is used to improve patient outcomes. The Cardiology Informatics team is seeking a highly-motivated data analyst who enjoys working with complex datasets and building tools for data pipelines. These datasets and pipelines enable and support the development of advanced machine learning models and clinical care algorithms which directly impact patients and providers by improving diagnosis and treatment of cardiovascular disease.

What you’ll do:

As part of the Cardiology team, you’ll play a key role in helping us aggregate and transform data into a centralized data model with specialized ‘analysis ready’ datasets from many different sources. You’ll work with clinical data experts, engineers, data scientists, and informatics analysts to ensure the quality of our data for analysis downstream.

Responsibilities

• Lead efforts to manage and expand an extensive toolkit for scaling the aggregation and normalization of disjointed data
• Automate quality assurance to ensure that data adheres to a common set of standards
• Identify and socialize improvements to data processing infrastructure and workflow
• Support the enrichment and semantic normalization of data assets in collaboration with other teams
• Analyze the quality of our data and insights that can be generated from it

Skills and Qualifications:

• Bachelor’s degree
• 2+ years of SQL experience
• Python experience
• Experience working with disorganized data from various sources
• Extremely high attention to detail and fast learner
• Experience working with EHR/Healthcare data and practices

Nice-to-haves:

• Knowledge of Cardiology data and practices
• Knowledge of Health Informatics
• Experience with Standard Medical Terminologies (SNOMED-CT, ICD-9/10, LOINC, etc.)