Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.

Sema4 is seeking an experienced Data Steward- Production Bioinformatics. As part of the Data Infrastructure and Management team in the Production Bioinformatics department, the Data Steward will work closely with project managers, other software developers, and software quality analysts to locate, manipulate, process, and deliver data to different locations and systems.

RESPONSIBILITIES

• Monitor analysis pipelines for clinical and nonclinical data delivery
• Follow standard operating procedures (SOPs) to generate testing data using both industry standard tools and Sema4’s proprietary software
• Collaborate with colleagues in the laboratory, bioinformatics, software quality and project management teams to support development, research, and software validations
• Create and update SOPs and other documents
• Participate in an on-call rotation to support off-hours delivery of data and prevent interruptions in service
• Support clinical validation and documentation of process deviations

QUALIFICATIONS

• Demonstrated ability to run command line programs and utilize a Linux environment
• Familiarity with relational databases (MySQL is preferred) to author, edit, and run queries
• Basic understanding of Microsoft Excel
• Experience with technical writing and creating technical diagrams a plus
• Experience with JIRA, Confluence or any comparable ticketing, documentation system a plus
• Experience with healthcare data, genomics, clinical data or life-sciences data a plus