EDE ELN Signals Product Analyst
Sparc Technology Services Inc Hanover Township, New Jersey, United States · $83K–$114K/yr
IT Services and IT Consulting · 2-10 employees
About the role
The analyst will support product requirements, enhancements, testing, validation, and implementation for ELN/Signals applications. They will collaborate with scientific users, business stakeholders, and IT teams to ensure effective system utilization.
What they look for
Requirements
Candidates must have 3+ years of experience with ELN platforms and a strong understanding of GxP regulations. Proficiency in SDLC methodologies and experience with tools like Jira and Confluence are required.
Benefits
Full description
EDE: ELN Signals Product Analyst
Location: Rahway, NJ Experience: 3+ years Role: Product Analyst – Electronic Laboratory Notebook (ELN) / Signals
We are looking for an ELN Signals Product Analyst with experience supporting regulated scientific/laboratory applications. The ideal candidate will have hands-on experience with Electronic Laboratory Notebook (ELN) platforms, preferably Revvity Signals, along with a strong understanding of GxP regulations and validated IT systems.
Key Responsibilities & Requirements
- Strong understanding of GxP regulations and their application to IT/laboratory systems.
- Hands-on experience with Electronic Laboratory Notebooks (ELN), preferably Revvity Signals.
- Support product requirements, enhancements, testing, validation, and implementation activities for ELN/Signals applications.
- Experience with SDLC methodologies, including Agile and Waterfall.
- Hands-on experience with Jira, Confluence, and testing tools.
- Work closely with scientific users, business stakeholders, IT teams, and downstream analytics/reporting teams.
- Strong communication, stakeholder-management, analytical, and problem-solving skills.
• 3+ years of relevant experience required.
Nice to Have: Experience implementing end-to-end scientific workflows within e-notebooks or other laboratory systems; knowledge of data governance and FAIR data principles; and experience partnering with dashboard, analytics, or reporting teams to support scientific and operational data consumption
Flexible work from home options available.
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