Senior Data Quality Assurance Specialist

Are you 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. We are seeking a Data Scientist to join our pharma-facing RWD Analytics (RWDA) team. Our team partners with scientists at biotechs and pharma companies who are using our real-world clinical data to understand treatment patterns and study outcomes. As Data Scientist IIt, you will lead quality assurance initiatives on dataset deliverables. Responsibilities: - Develop a deep understanding of the Tempus data model - Develop a framework for evaluating data quality for datasets planned for biopharma delivery - Oversee quality for planned delivery of licensed data - Proactively identify and address issues that may affect the quality of delivered data - Assist in troubleshooting and coordinating any corrective actions required for data quality issues identified in licensed dataset deliverables - Work closely with cross-functional teams including peers in RWE, Data Engineering, Delivery Operations and Alliance Management in coordinating quality related deliverables for licensed datasets - Participate in larger data health initiatives and provide VOC - Maintain training documentation for customers on delivered datasets - Provide customer training on navigating delivered datasets as needed Required Experience: - BS/BA in bioinformatics, computer science, molecular biology or genetics, or equivalent field of study - Programming skills: Strong proficiency in SQL, and Python or R - At least 3 years of experience in the healthcare industry, ideally in a quality role - An understanding of how clinical data is represented in EHR - Collaborative mindset, an eagerness to learn and a high integrity work ethic - Familiarity with Mac/Linux environment Nice to have: - Experience working with clinical cancer data - Experience with version control and software testing - Customer facing experience - Reporting and data visualization experience (Looker, Tableau, Snowflake) - Experience working with dbt #LI-SH1 #LI-Hybrid We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.