Consultant, Scientific and Laboratory Informatics

Accenture•Miami, FL

1d•$54,400 - $205,800•Remote

About The Position

Accenture's Laboratory Reinvention practice combines scientific and laboratory innovation with leading-edge technology to help clients achieve Digital and AI Laboratory Transformation. We revolutionize scientific and laboratory processes by applying digital technologies like GenAI, automation, IoT, and analytics, alongside a redesign of the scientific user experience. Our goal is to help clients better capture, manage, integrate, and analyze complex scientific data, thereby improving research, development, and manufacturing, enhancing quality, ensuring compliance, reducing time to market, and boosting operational efficiency. As a member of our team, you will be exposed to cutting-edge technologies and processes used by leading companies and government agencies.

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, Dotmatics, LabVantage, LabWare, Scitara, TetraScience
Strong interpersonal skills and both verbal and written communication skills

Responsibilities

Deliver exceptional, differentiated strategies, roadmaps, value cases, and highly valued projects for clients that advance their ambitions for digital laboratory operations and scientific intelligence.
Apply management consulting and design-thinking techniques to the fundamental redesign of the scientific user experience.
Help shape client’s transformation vision, focus areas, and journey from the current state to a “to-be” enterprise environment.
Reimagine, plan and execute on how AI reshapes the laboratory landscape.
Redesign processes and operating models to enable new ways of working with data-driven business cases.
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.
Create digital laboratory thought leadership for clients across Life Sciences.
Collaborate with client leaders to gain alignment on recommended solutions.
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.
Help clients better capture, handle, integrate and analyze complex scientific data.