Data Analytics Engineer

Tempus is revolutionizing the field of cancer genomics by building infrastructure to make sense of genetic sequencing data in clinical settings. This role offers an opportunity to make a significant impact in healthcare through data analytics.

As a Data Analytics Engineer, you'll be at the forefront of developing and managing advanced analytics solutions that help decode genetic information for healthcare providers. You'll work with cross-functional teams to design and implement sophisticated dashboards, reporting systems, and business intelligence tools that transform complex genomic data into actionable insights.

The position requires a strong background in data analytics, with at least 7 years of experience in developing data sets and managing analytics projects. You'll need expertise in SQL, data visualization tools, and database modeling. Experience with Python and Google Cloud Platform (GCP) is a plus.

What makes this role exciting is the opportunity to work on meaningful projects that directly impact patient care through better understanding of genomic data. You'll be part of a fast-paced, collaborative environment where you'll tackle complex challenges in healthcare analytics.

The ideal candidate combines technical expertise with strong communication skills, as you'll be working closely with both technical and non-technical stakeholders. You'll need to be highly organized, detail-oriented, and capable of managing multiple projects while maintaining high standards of data quality and accuracy.

This hybrid role offers the flexibility of remote work while maintaining collaborative opportunities with the team. Tempus provides an inclusive work environment and is committed to equal opportunity employment, making it an excellent place for professionals looking to make a difference in healthcare through data analytics.