Management Consulting Delivery Specialist , Scientific and Laboratory Informatics

About the role

Accenture’s Laboratory Reinvention practice helps clients envision and achieve Digital and AI Laboratory Transformation through co‑creation and application of digital technologies. The team leverages GenAI, automation, IoT, analytics, and cloud to redesign scientific user experiences, improve research, development, manufacturing, quality, compliance, time‑to‑market, and operational efficiency.

Responsibilities

• Utilize AI tools to elicit, demonstrate, develop, and scale solutions that meet the needs of laboratory scientists across the value chain.
• Conduct stakeholder interviews and working sessions to gather insights and clarify needs.
• Analyze and translate business requirements into functional and technical specifications for custom and off‑the‑shelf solutions.
• Develop and maintain comprehensive project documentation, including requirement specifications, use cases, user stories, and design documents.
• Perform project‑management activities for both waterfall and agile methodologies.
• Support design and implementation of solutions that comply with regulatory standards in GxP and non‑GxP environments.
• Support accurate and timely design, creation, and migration of scientific master data and transactional data.
• Provide training and ongoing support to end‑users on new systems and processes.
• Prepare SDLC documents (process maps, workflows, specifications, test scripts, etc.).
• Offer point‑of‑view on laboratory and scientific informatics solutions, evaluating strengths and weaknesses of various technologies.
• Advise on data and system architectures as they relate to industry solutions for the laboratory.
• Help clients capture, handle, integrate, and analyze complex scientific data.
• Oversee, design, and implement digital solutions such as Agentic Lab capabilities, LIMS, ELN, CDS, SDMS, instrument orchestration technologies, IoT, and cloud.
• Travel up to 50 % to client locations as required.

Qualifications

• Minimum 3 years experience in scientific and laboratory informatics within R&D and/or QC manufacturing spaces.
• Bachelor’s degree in a laboratory science/life science (e.g., Chemistry, Biochemistry, Biotechnology, Biology, Microbiology) or in Computer Science/Engineering (e.g., Chemical Engineering, Biomedical Engineering).
• Minimum 2 years experience in consulting (preferred).
• Experience working in or with life‑sciences R&D, QC, or IT (preferred).
• Implementation experience with any of the following laboratory solutions: Benchling, Revvity Signals, Waters CDS/SDMS, Dotmatics, LabVantage, LabWare, SampleManager, Scitara, TetraScience (preferred).
• Strong interpersonal, verbal, and written communication skills.

Growth Opportunities

This role provides continuous learning through AI‑enabled tools, hands‑on experimentation with new technologies, and exposure to design‑thinking and agile methodologies. You will have opportunities to represent Accenture at industry forums, conferences, and through thought‑leadership initiatives.

Pay

• California: $70,350 – $196,000
• Cleveland: $59,100 – $156,800
• Colorado: $63,800 – $169,300
• District of Columbia: $68,000 – $180,300
• Illinois: $59,100 – $169,300
• Maine: $54,400 – $144,300
• Maryland: $63,800 – $169,300
• Massachusetts: $63,800 – $180,300
• Minnesota: $63,800 – $169,300
• New York: $66,300 – $196,000
• New Jersey: $68,000 – $196,000
• Virginia: $59,100 – $180,300
• Washington: $80,200 – $180,300

Benefits

• Medical, dental, and vision coverage
• Life and long‑term disability insurance
• 401(k) retirement plan
• Bonus opportunities
• Paid holidays and paid time off