Management Consulting Delivery Specialist , Scientific and Laboratory Informatics

Overview Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at . Our Laboratory Reinvention practice is where scientific and laboratory innovation meets leading‑edge technology. We help our clients envision and achieve Digital and AI Laboratory Transformation through co‑creation and application of digital technologies, revolutionizing scientific and laboratory processes. Our people have a combination of scientific and laboratory informatics expertise, tied with strategic and business consulting experience, and industry platforms knowledge. We provide an innovative approach and global scale across a variety of industries. We leverage digital technologies such as GenAI and Agentic SI solutions, automation, Internet of Things, analytics, and cloud, in combination with a fundamental redesign of the scientific user experience to help our clients better capture, manage, integrate, and analyze complex scientific data. We help improve the research, development, and manufacturing of new products, improve quality, ensure compliance, reduce time to market and improve operational efficiency. As a member of our team, you will be exposed to the cutting‑edge technologies and processes that many leading companies and government agencies utilize. Responsibilities Utilize AI tools to effectively 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 development and configuration of custom and off‑the‑shelf solutions. Develop and maintain comprehensive project documentation, including requirement specifications, use cases, user stories, and design documents. Operate in and perform project management activities for both waterfall and agile methodologies. Support the design and implementation of solutions that comply with regulatory standards in GxP and non‑GxP environments. Support the 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, Specs, Test Scripts, etc.). Provide point‑of‑view on laboratory and scientific informatics solutions and strengths and weaknesses of various technology solutions. Advise on data and system architectures as they relate to industry solutions for the laboratory. Help clients better capture, handle, integrate and analyze complex scientific data. Oversee, design, and implement digital solutions such as Agentic Lab Capabilities, Laboratory Information Management Systems (LIMS), Electronic Laboratory Notebooks (ELN), Chromatography Data Systems (CDS), Scientific Data Management Systems (SDMS), Instrument Orchestration technologies, Internet of Things (IoT), and cloud. Travel – candidates must be willing to travel up to 50% to client locations. Qualifications 3+ Years of experience working in the field of 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 Computer Science or Engineering (e.g., Chemical Engineering, Biomedical Engineering). Preferred Qualifications 2+ years of experience in consulting. Experience working in or with life sciences R&D, QC, or IT. Implementation experience with any of the following laboratory solutions: Benchling, Revvity Signals, Waters CDS/SDMS, Dotmatics, LabVantage, LabWare, SampleManager, Scitara, TetraScience. Strong interpersonal skills and both verbal and written communication skills. Growth Opportunities Accessing and applying capable AI tools to make all facets of work faster and smarter. On‑the‑job learning: creating experiments with new technologies, products and across team partnerships. Being part of a forward‑thinking community committed to training on and the adoption of latest methodologies such as design thinking and agile working. Opportunities to be a face of Accenture at industry forums, conferences, and through thought leadership. Compensation and Benefits Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. Accenture offers a market‑competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Role Location | Annual Salary Range California: $70,350 to $196,000 Cleveland: $59,100 to $156,800 Colorado: $63,800 to $169,300 District of Columbia: $68,000 to $180,300 Illinois: $59,100 to $169,300 Maine: $54,400 to $144,300 Maryland: $63,800 to $169,300 Massachusetts: $63,800 to $180,300 Minnesota: $63,800 to $169,300 New York: $66,300 to $196,000 New Jersey: $68,000 to $196,000 Virginia: $59,100 to $180,300 Washington: $80,200 to $180,300 #J-18808-Ljbffr Accenture