Product Analyst

• Analyze product requirements for the Clinisys Laboratory Solution (CLS)
• Document detailed features, use cases, functional specifications, and non-functional requirements
• Benchmark existing product designs and workflows against competitors and industry standards
• Serve as a product and laboratory discipline/LIS domain subject matter expert
• Partner with SMEs, stakeholders, and customers to gather, analyze, and validate requirements
• Clarify and approve user stories
• Use generative and agentic AI to streamline feature creation, backlog grooming, stakeholder updates, and workflow optimization
• Apply responsible AI practices and mitigate risks such as bias, hallucinations, and intellectual property issues
• Evaluate and standardize AI tools and workflows using defined success metrics
• Manage performance, scalability, and security requirements
• Ensure regulatory compliance with QARA
• Prioritize and drive work through engineering teams
• Support sales and bid efforts, including RFPs and tenders
• Own backlog prioritization while balancing dependencies, risk, and value delivery
• Support release planning and roadmap development
• Manage stakeholder expectations and minimize scope creep
• Represent the Voice of Customer through client engagement and validation
• Lead cross-functional sprint teams to deliver high-quality software
• Coordinate third-party partners and system integrators
• Prepare and present SDLC artifacts, metrics, demos, and training
• Support market research and product strategy

• At least 3 years' experience working as a Lab Technician, Analyst, Technical Manager, or equivalent in Environmental, Toxicology, or Public Health laboratories
• A degree related to the scientific laboratory setting is essential
• Expertise in Environmental, Toxicology, and/or Public Health Labs
• Strong analytical, problem-solving, and communication skills
• Experience with product management and SDLC processes
• Proficiency using AI tools for product work, including user stories, backlog management, and insights synthesis
• Ability to design prompts, refine outputs, and apply quality checks to AI-assisted work
• Understanding of AI limitations and when to use traditional methods
• Knowledge of responsible AI, including privacy, security, bias, and auditability, in healthcare
• Ability to translate data such as telemetry, Voice of Customer, and trends into prioritized actions
• Commercial mindset with ability to communicate value and innovation
• Strong collaboration and delegation skills; ability to manage timelines and dependencies
• Resourceful, with a strong SME network to support rapid decision-making
• Certified Scrum Alliance Product Owner (CSPO) or equivalent is highly desirable
• Experience using Clinisys Laboratory Information Management Systems products is preferred
• Ability to work in a hybrid arrangement with a minimum of 3 days per week in the office
• Moderate lifting/carrying of 15–44 lbs.; walking/standing 2–6 hours

Demonstrates expertise in product management and laboratory disciplines, particularly in Environmental, Toxicology, and Public Health labs, while effectively utilizing AI tools for backlog management and stakeholder engagement. Strong analytical and communication skills are essential for translating customer insights into actionable product strategies.

• Product Management
• AI Tools Proficiency
• Environmental Laboratory Expertise
• Regulatory Compliance (QARA)
• Certified Scrum Alliance Product Owner (CSPO)

• Product Requirements Analysis
• Functional Specifications Documentation
• SDLC Processes
• Backlog Management
• AI Prompt Design
• Data Translation
• Quality Checks for AI Outputs
• Benchmarking Against Industry Standards
• Feature Creation Optimization
• Performance and Scalability Management

• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Collaboration Skills
• Delegation Skills

• Certified Scrum Alliance Product Owner (CSPO)

• Laboratory Information Systems (LIS)
• Environmental Labs
• Toxicology Labs
• Public Health Labs
• Responsible AI Practices

• Clinisys Laboratory Information Management Systems
• Generative AI Tools
• Agentic AI Tools