Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We enable physicians to make real-time, data-driven decisions to deliver personalized care and targeted therapies for patients through our analytical machine learning platform that uses the power of artificial intelligence in healthcare. We also work with partners to facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets.

Our mission is for each patient to benefit from the treatment of others who came before by providing the healthcare industry tools that learn as we gather more data. It’s About Time.

As part of the informatics team, you’ll play a key role in helping us develop and deploy an overarching data quality management strategy for real world data aggregated from a variety of sources. This will include the development of quality monitoring metrics and the establishment of routine reporting activities. Key objectives of your continuous quality assessment and improvement initiatives will be ensuring data completeness and maximizing data fidelity as we build the largest library of oncology clinical data in the world. You’ll work with clinical data experts, data architects, engineers, data scientists, and informatics analysts to ensure the quality of our data for analysis downstream.

Responsibilities

• Collaborate with cross functional teams to identify and develop methods to measure data quality across the organization
• Adapt and deploy quantitative and qualitative methods based on existing standards and best practices
• Automate reporting on quality assurance metrics to enable cross-team coordination and resolution of data quality issues
• Support the enrichment and semantic normalization of data assets
• Analyze the useability of our data and generate insights that can be leveraged to further improve its utility

Skills And Qualifications

• Master's degree in a STEM discipline
• 3+ years of Python/SQL/R experience
• Data quality analytics and reporting experience
• Experience working with health data
• Extremely high attention to detail and fast learner

Nice-to-Have

• Knowledge of Health Informatics
• Experience with Standard Medical Terminologies (SNOMED-CT, ICD-9/10, LOINC, etc.)