Data Operations Analyst

Passionate about making a difference in the world of cancer genomics?

With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before but industrial researchers don't have the infrastructure or expertise to make sense of this data. We're on a mission to connect an entire ecosystem to redefine how genomic and clinical data is used for evidence-based medicine. 

We are seeking a highly motivated and capable data analyst to help our Life Science partners work with the complex and nuanced data associated with sequencing and companion diagnostic projects and process improvement for Tempus’ Life Sciences collaborations.

ABOUT THE JOB

The Data Operations Analyst, Life Sciences, will support our Data Operations team in building technical solutions to enhance the operational efficiency of the Life Sciences team and work directly with institutions, patients, and physicians to provide raw data and insights from their Tempus sequencing tests. 

KEY RESPONSIBILITIES

• Use SQL to manage complex and nuanced datasets, troubleshoot quality issues, and support curation of data metrics for internal stakeholders 
• Work directly with patients and physicians to provide data-driven insights into the results of their Tempus sequencing tests
• Oversee accurate and timely execution of data deliverables for our Life Sciences sequencing collaborations 
• Serve as a centralized resource for teams across Tempus on all information regarding research sequencing data deliverables 
• Validate, investigate, and resolve discrepancies across large datasets
• Own development of Life Sciences Data Operations Standard Operating Procedures (SOPs) by maintaining accurate, high-quality, organized collateral and documentation
• Support and develop scalable solutions to enhance technical support for data management processes

QUALIFICATIONS

• Bachelor’s Degree, ideally in engineering or relevant scientific field 
• 1+ years of data management experience, ideally in the healthcare industry
• Proficient in SQL, experience with Python, R and additional coding languages a plus
• Highly skilled in utilizing Excel to identify issues and develop insights with accuracy and speed
• Demonstrated experience working in team environments and capable of partnering with both business and engineering colleagues to translate technical language to the non-technical need  
• Sharp attention to detail with an organized and systematic work style 
• Strong written and verbal communication skills
• Experience with data visualization tools (e.g. Looker, PowerBI, Tableau)
• Self-driven and quick learner who is comfortable navigating within ambiguity and understanding complex process workflows
• Ability to prioritize multiple competing tasks across projects, clients, and internal teams