AI-Driven Scientific Informatics Consultant

Accenture PLC; Redmond; On-site; AUD 100,000 - 279,000; Full time

Job summary

Accenture PLC is seeking a Forward Deployed Scientific Informatics Consultant for its Laboratory Reinvention practice in the US. The role focuses on delivering AI-powered digital laboratory solutions, including LIMS, ELN, CDS, and SDMS, across industries.

You will collaborate with clients to elicit needs, translate requirements into designs, and ensure regulatory compliance. Travel up to 50% to client sites, with a strong emphasis on data management and analytics.

Qualifications

• 3 years of scientific and laboratory informatics experience in R&D or QC manufacturing.
• Bachelor’s Degree in a Laboratory Science or Computer Science/Engineering.
• Experience consulting is a plus.

Responsibilities

• Deliver AI-enabled, digital laboratory solutions for clients across the value chain.
• Conduct stakeholder interviews and translate needs into specs.
• Translate business requirements into functional and technical designs for development and configuration.
• Develop project documentation including requirements, use cases, and design docs.
• Support regulatory compliance in GxP and non-GxP environments.
• Assist with data architecture and master data design for lab systems.
• Provide end-user training and post-implementation support.
• Create SDLC documents and project workflows.

Skills

Lab informatics

GxP knowledge

Communication

Education

Bachelor’s in Life Science or CS/Engineering

Tools

Benchling

Revvity Signals

Waters CDS/SDMS

LabVantage

Job description

Accenture PLC is seeking a Forward Deployed Scientific Informatics Consultant for its Laboratory Reinvention practice in the US. The role focuses on delivering AI-powered digital laboratory solutions, including LIMS, ELN, CDS, and SDMS, across industries.

You will collaborate with clients to elicit needs, translate requirements into designs, and ensure regulatory compliance. Travel up to 50% to client sites, with a strong emphasis on data management and analytics.