Team Lead, Scientific Data Workflow Automation
TetraScienceFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need an advanced degree in computer/data science, engineering, or life sciences, plus 10+ years of leadership experience developing healthcare and life sciences technologies, proven ability to build and scale high-impact technical teams, and demonstrated success partnering with senior customer stakeholders.
Preferred qualifications include expertise across multiple health data modalities like omics, imaging, biomarkers, claims, and SDOH; deep understanding of research workflows, clinical standards, and regulatory requirements; track record of applying advanced AI/ML techniques to health data at scale; and executive-level experience with cloud platforms, data pipelines, and enterprise integration.
This information is not specified in the job description.
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The role requires leading, mentoring, and inspiring a high-performing technical solutions team while fostering a culture of innovation, accountability, and impact, and establishing a center of excellence for enterprise scientific and data solutions.
Comprehensive healthcare platform
Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. Verily is focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward.