Life Sciences: Scientific and R&D Tech Lead - Delivery Manager

Accenture•New York, NY

11d•$87,400 - $266,300•Onsite

About The Position

Accenture's Scientific Informatics practice combines scientific innovation with leading-edge technology to help clients achieve Digital Laboratory Transformation. We revolutionize scientific and laboratory processes by applying digital technologies like automation, AI, IoT, and cloud, alongside a redesign of the scientific user experience. This helps clients better capture, manage, integrate, and analyze complex scientific data, ultimately improving product discovery and manufacturing, quality, compliance, time to market, and operational efficiency. As a team member, you will be exposed to cutting-edge technologies and processes used by leading companies and government agencies.

Requirements

Minimum of 6 years of experience.
Proven experience working with product and tools vendors, including supporting implementation, enhancements, and platform upgrades.
Working knowledge of GxP-regulated environments, including understanding of IQ (Installation Qualification), OQ (Operational Qualification), and PQ (Performance Qualification) processes across infrastructure, security, and compliance domains.
Familiarity with laboratory systems such as Empower and OpenLab, including their role within GxP-compliant environments.
Understanding of cloud infrastructure supporting laboratory applications, with awareness of GxP implications, risk considerations, and system criticality.
Ability to assess and manage GxP impact for applications, including identifying and supporting critical systems (e.g., Empower and OpenLab).
Bachelor's degree.

Responsibilities

Ensure seamless operations in Research Park - Melville, across 8 laboratories and the pilot plant.
Act as the application owner for over 50 single-instance apps linked to R&D equipment in Melville.
Collaborate with Field Service Engineers (FSEs) to ensure R&D-specific local infrastructure (over 200 lab workstations and several on-prem servers) is operational and GxP compliant.
Work with Data and Analytics teams to ensure data produced by R&D equipment is properly captured, stored, curated, and auditable.
Interact substantially with all R&D lab heads and on-prem scientists, troubleshooting daily and liaising with numerous vendors/owners of R&D lab apps.