Senior Data Engineer - Clinical 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 cancer treatment. We are on a mission to connect an entire ecosystem to redefine how data is used to improve patient outcomes. The Clinical Informatics team is seeking a highly-motivated data analyst who enjoys working with complex datasets and building tools for data pipelines.

What you’ll do:

As part of the informatics team, you’ll play a key role in helping us aggregate data from many different sources to build the largest library of oncology clinical data in the world. You’ll work with clinical data experts, engineers, data scientists, and informatics analysts to ensure the quality of our data for analysis downstream.

Responsibilities

• Manage and monitor complex, high-volume data ingest workflows across a constantly growing inventory of partners
• Trouble-shoot workflow failures and implement scaled and future-proofed solutions
• Expand, test and execute new ingest workflows
• Develop novel solutions further automating or extending the functionality of existing workflows
• Integrate automated processes supporting the enrichment and semantic normalization of data assets in collaboration with other teams

Skills and Qualifications:

• Bachelor’s degree in Computer Science, or Information Systems (Master’s Preferred)
• 3+ years of Python, SQL, Airflow and Github experience
• Experience working with disorganized data from various sources
• Extremely high attention to detail and fast learner

Nice-to-haves:

• Knowledge of Health Informatics
• Experience with Standard Medical Terminologies (SNOMED-CT, ICD-9/10, LOINC, etc.)
• Experience with NLP techniques
• Familiarity with Oncology and Cancer Genomics