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Consultant, Scientific and Laboratory Informatics

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Accenture
Full Time position
Listed on 2026-05-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world.

Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360 value we create for all our stakeholders.

Visit us at

Our Laboratory Reinvention Practice

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.

What would you do?

Team members typically work on one project at any given point in time, often as part of a larger core team. As a Forward Deployed Scientific Engineer, you can expect to:

  • 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, and design documents.
  • Support the design and implementation of solutions that comply with regulatory standards in 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 to deliver on transformational goals along with strengths and weaknesses of various technology solutions.
  • 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), Internet of Things (IoT), and cloud.
Who do we need - Basic 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).
  • Travel – candidates must be willing to travel up to 50% to client locations.
Growth Opportunities

You will always be learning…

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