Senior Analyst, Data Operations

Tempus AI • Chicago, IL

3d • $80,000 - $100,000

About The Position

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.

Requirements

• 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 Haves

• 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

Responsibilities

• Manage intake and fulfillment for provider requests to receive molecular data relating to oncology research initiatives
• Support accurate and timely execution of data deliverables for both Provider and Life Sciences sequencing collaborations
• Own and maintain documentation and process standards for data operations workflows and emerging molecular data products
• Translate client requirements into actionable plans by partnering with data quality teams to scope and deliver tailored solutions for high-impact customers
• Leverage SQL to manage complex and nuanced datasets, troubleshoot quality issues, and support curation of data metrics for internal stakeholders
• Serve as a resource across internal teams for data quality and maintenance
• Identify and execute on opportunities for process automation within the business unit
• Validate, investigate, and resolve discrepancies across large datasets

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed