Remote Senior Data Analyst - Oncology Clinical Evidence

Tempus AI; Maine; On-site; USD 80,000 - 125,000; Full time

Job summary

Tempus AI in the United States is seeking a Senior Data Analyst to design and execute clinical evidence studies aimed at personalizing cancer care.

You will develop data models using dbt and SQL, build reports and dashboards, automate data pipelines, and ensure clean, analysis-ready data while collaborating with cross-functional teams.

This role offers exposure to real-world evidence, data privacy compliance, and opportunities to influence treatment decisions.

Qualifications

• 5+ years of experience in Life Sciences or Healthcare analytics.
• Strong SQL and scripting (R or Python).
• Experience with Looker or BI tools.
• Experience in oncology/cancer genomics or clinical trials.
• Ability to translate raw data into practical insights and recommendations.
• Excellent communication across diverse audiences.
• Ability to manage multiple projects and navigate ambiguity.

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

Skills

SQL

Python/R

Looker

Data Modeling

Healthcare Data

Communication

Tools

dbt

Looker

Job description

Tempus AI in the United States is seeking a Senior Data Analyst to design and execute clinical evidence studies aimed at personalizing cancer care.

You will develop data models using dbt and SQL, build reports and dashboards, automate data pipelines, and ensure clean, analysis-ready data while collaborating with cross-functional teams.

This role offers exposure to real-world evidence, data privacy compliance, and opportunities to influence treatment decisions.