Senior Analyst, Data Operations

Tempus AI · Vertical AI · Chicago, IL

This role focuses on managing data operations and workflows within the healthcare industry, specifically related to molecular data for oncology research. It involves data intake, fulfillment, documentation, process automation, and ensuring data quality and accuracy using SQL and Excel. While the company utilizes AI, this specific role is centered on data management and operational support rather than direct AI/ML model development.

What you'd actually do

  1. Manage intake and fulfillment for provider requests to receive molecular data relating to oncology research initiatives
  2. Support accurate and timely execution of data deliverables for both Provider and Life Sciences sequencing collaborations
  3. Own and maintain documentation and process standards for data operations workflows and emerging molecular data products
  4. Translate client requirements into actionable plans by partnering with data quality teams to scope and deliver tailored solutions for high-impact customers
  5. Leverage SQL to manage complex and nuanced datasets, troubleshoot quality issues, and support curation of data metrics for internal stakeholders

Skills

Required

  • 2+ years of experience managing data workflows, process improvements, or operational support in a commercial or laboratory environment
  • 2+ years of experience using SQL for basic data pulls, reporting, and database management
  • Baseline knowledge of genomic healthcare data including molecular sequencing results and clinical patient information
  • Clear communication and presentation skills, can articulate complex issues concisely
  • Understanding of statistical concepts and data analysis techniques
  • Excellent analytical and problem-solving skills
  • Attention to detail and strong organizational skills
  • Good communication and interpersonal skills
  • Experience with data validation, cleaning, and query resolution
  • Proficient in Microsoft Excel for data entry and simple analysis
  • Ability to work independently to solve issues and drive projects forward
  • Experience working with and managing external clients and stakeholders
  • Adept at fostering relationships and working with diverse teams across the business

Nice to have

  • 3+ years of experience overseeing data management, process optimization, or operational support in a fast-paced industry environment
  • 3+ years of experience using SQL for basic data pulls, reporting, and database management
  • 1+ years of hands-on experience with enterprise cloud computing and storage platforms (AWS, GCP etc)
  • Advanced Excel ability
  • CRO experience and knowledge of the oncology space
  • Knowledge of clinical trials and regulatory requirements