Management Consulting Delivery Specialist , Scientific and Laboratory Informatics

Accenture•Orlando, FL

4d•Hybrid

About The Position

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 www.accenture.com . 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.

Requirements

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)

Nice To Haves

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

Responsibilities

Deliver exceptional, differentiated solutions for our clients that advance their ambitions for digital laboratory operations and scientific intelligence.
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