Digital Lab Transformation Consultant (AI & Informatics)

Accenture

Overland Park (KS)

On-site

USD 90,000 - 150,000

Full time

14 days+
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Job summary

Accenture in the United States is seeking a Consultant with a strong background in scientific and laboratory informatics to help reinvent digital laboratory operations and AI-enabled processes across Life Sciences. You will work with client leaders to shape transformation, redesign data architectures, and implement digital solutions such as LIMS, ELN, CDS, and IoT.

Travel up to 50% is expected. Ideal candidates hold a life sciences or CS/engineering degree and 3+ years in informatics, plus 2+

Qualifications

  • At least 3 years in scientific and laboratory informatics in R&D or QC manufacturing.
  • Bachelor’s degree in Life Science or Computer Science / Engineering.
  • Experience in consulting is preferred.
  • Experience with laboratory data systems such as Benchling, LabWare or similar tools.

Responsibilities

  • Apply management consulting and design-thinking to redesign the scientific user experience.
  • Shape transformation vision and journey from current state to a modern enterprise environment.
  • Reimagine how AI reshapes the laboratory landscape.
  • Advise on data architectures and informatics solutions for laboratories.
  • Travel up to 50% to client locations.

Skills

Laboratory informatics
Consulting experience
Interpersonal skills
Data analysis

Education

Bachelor's degree in Life Science or CS/Engineering

Tools

Benchling
Revvity Signals
Dotmatics
LabVantage
LabWare
Scitara
TetraScience

Job description

Accenture in the United States is seeking a Consultant with a strong background in scientific and laboratory informatics to help reinvent digital laboratory operations and AI-enabled processes across Life Sciences. You will work with client leaders to shape transformation, redesign data architectures, and implement digital solutions such as LIMS, ELN, CDS, and IoT.

Travel up to 50% is expected. Ideal candidates hold a life sciences or CS/engineering degree and 3+ years in informatics, plus 2+

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