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Digital Lab Transformation - Senior Consultant - Life Sciences (LIMS)

EY
FULL_TIME Remote ยท US Charleston, WV, US Posted: 2026-05-11 Until: 2026-06-10
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Job Description
Location: Arlington, Baltimore, Boston, Chantilly, Charleston, Chicago, Hartford, Hoboken, McLean, New York, Philadelphia, Pittsburg, Providence, Stamford, Washington DC At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity As a Senior in Governance, Risk, and Compliance, you will have the opportunity to implement enterprise governance and compliance frameworks, identify control points in need of improvement, optimization, or automation, and liaise with operational risk teams to enhance compliance and operational efficiency. You will support the selection of compliance software and analyze data to guide automated compliance processes. Our clients operate in a world where achieving high performance is just as important as the patients they serve. EY's Life Sciences team designs and implements solutions in the Life Sciences sector to address risks impacting their organization's performance and impacting patient safety. The Life Sciences Risk Consulting team focuses on biotechnology, pharmaceutical, medical device manufacturers, and the medical technology industry, enabling our clients to leverage the newest technologies securely and at scale. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, we use the best technology to deliver solutions to meet our client goals. We are looking for a Senior that can drive innovation and excellence in our lab transformation strategy and lab systems implementation team within the Life Sciences sector. The ideal candidate will bring deep expertise in lab operations and the underlying technical capability of the systems that support lab o