Work Schedule

Environmental Conditions

Job Description

About the Role

Thermo Fisher Scientific is seeking a Business Analyst II / Product Owner II to help deliver software products that support scientific discovery, laboratory efficiency, and connected instrument workflows.

In this role, you will work with product managers, customers, engineering, UX, QA, and cross-functional teams to understand user needs, define product requirements, and support delivery of high-quality software solutions. You will help translate customer and business needs into clear user stories, acceptance criteria, workflows, and product backlog items.

This role is well suited for someone who brings business analysis or product ownership experience, understands laboratory or scientific workflows, and wants to grow in software product leadership.

Purpose

The Business Analyst II / Product Owner II represents customer and business needs within Agile software teams. This role is responsible for defining, refining, and prioritizing product requirements so teams can deliver valuable, usable, and compliant software features.

The role requires ownership of assigned product areas, close collaboration with stakeholders, and the ability to support roadmap execution from discovery through release. The role also includes identifying practical opportunities to use AI, automation, and data-driven capabilities to improve customer workflows, product outcomes, and team efficiency.

Key Responsibilities

• Work with product managers, customers, senior product owners, and business stakeholders to gather, analyze, and clarify business and user needs.
• Own assigned features, product areas, or backlog items from discovery through development, validation, and release readiness.
• Translate product roadmaps and customer needs into epics, features, user stories, acceptance criteria, workflows, and use cases.
• Manage and refine the product backlog to ensure requirements are clear, prioritized, testable, and aligned with business value.
• Partner with engineering, UX, architecture, QA, DevOps, and validation teams to build shared understanding of scope, requirements, dependencies, and delivery goals.
• Act as a customer and business representative during Agile ceremonies, including backlog refinement, sprint planning, reviews, demos, and retrospectives.
• Support release planning by clarifying scope, reviewing readiness, coordinating dependencies, and contributing to release documentation.
• Document and validate workflows for laboratory instruments, connected lab systems, flow cytometry applications, flow analyzers, and scientific data-driven software.
• Help define and improve operational processes for laboratory software, instrument connectivity, data acquisition, analysis, reporting, and compliance-related workflows.
• Analyze customer feedback, product usage insights, defects, and support trends to recommend product improvements.
• Identify opportunities to use AI, automation, analytics, and intelligent assistants to improve product workflows, requirement quality, customer productivity, and internal delivery efficiency.
• Collaborate with product and engineering teams to define AI-related product expectations, including user value, data needs, responsible use, usability, validation needs, and compliance impact.
• Support the definition and validation of non-functional requirements, including performance, scalability, reliability, usability, security, privacy, cost, supportability, and maintainability.
• Track risks, dependencies, open questions, and scope changes; raise concerns early and recommend practical mitigation options.
• Contribute to go-to-market readiness, customer enablement content, release notes, and internal training material.
• Promote Agile practices, Lean-Agile values, continuous improvement, and collaborative ways of working.
• Follow applicable QMS and ISMS standards, including ISO 9001:2015 and ISO 27001, and support audit and compliance activities as needed.

Required Qualifications

Education

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Biotechnology, Life Sciences, or a related field.

Experience

• 4–7 years of professional experience, including at least 2–3 years in business analysis, product ownership, software development, product management, or a related software delivery role.
• Experience working in Agile environments using Scrum, SAFe, Kanban, or similar frameworks.
• Experience writing user stories, acceptance criteria, business rules, process flows, use cases, and functional specifications.
• Experience managing or supporting a product backlog in collaboration with product and engineering teams.
• Experience working with engineering, QA, UX, architecture, DevOps, and product management teams.
• Experience translating business needs and scientific workflows into clear, testable software requirements.
• Experience or working knowledge of laboratory instruments, flow cytometry systems, flow analyzers, connected instruments, scientific workflows, or related laboratory applications.

Required Skills and Knowledge

• Understanding of laboratory protocols, scientific data workflows, instrument connectivity, and regulated product development environments.
• Basic technical understanding of software development concepts and modern technology stacks.
• Awareness of AI-enabled capabilities, generative AI tools, automation opportunities, data-driven workflows, or intelligent product features.
• Ability to assess AI-related use cases from a product perspective, including customer value, workflow fit, data needs, risks, usability, and validation considerations.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills, with the ability to explain scientific, business, and technical workflows to technical and non-technical audiences.
• Strong organization skills, with the ability to manage priorities, dependencies, and stakeholder expectations.
• Ability to work with geographically distributed and cross-functional teams.
• Ownership mindset, accountability, initiative, and follow-through.

Preferred Qualifications

• Master’s degree in Computer Science, Information Systems, Biotechnology, Life Sciences, or a related field.
• Experience with Atlassian tools such as JIRA, Confluence, Bitbucket, or similar product lifecycle tools.
• Exposure to Java, Angular, AWS, Jenkins, APIs, cloud platforms, or similar technologies.
• Exposure to SAFe or other scaled Agile delivery models.
• Certifications such as CSPO, CSM, SAFe POPM, CBAP, PMI-PBA, or equivalent.
• Experience defining or validating non-functional requirements, including performance, security, privacy, scalability, cost, and reliability.
• Experience with AI-assisted requirement analysis, backlog refinement, test case generation, workflow automation, data analytics, or intelligent product features.
• Familiarity with responsible AI principles, AI governance, model validation considerations, prompt engineering, or AI risk assessment.
• Experience with scientific data management, lab automation software, instrument control software, connected instruments, or cloud-based laboratory platforms.
• Experience working in regulated environments with QMS and ISMS processes.
• Working knowledge of ISO 9001:2015 and ISO 27001 guidelines.
• Experience contributing to product discovery, customer interviews, usability studies, release planning, or go-to-market readiness.

Success Measures

• Requirements are clear, complete, testable, and delivered in time to support Agile execution.
• Product backlog is prioritized, refined, and aligned with roadmap goals and customer value.
• Engineering and QA teams have strong requirement clarity and reduced rework.
• Delivered features meet business, technical, compliance, and user workflow expectations.
• AI and automation opportunities are identified responsibly and translated into practical product or process improvements.
• Stakeholders receive timely updates on scope, progress, risks, and dependencies.
• Product releases are supported with effective documentation, validation input, and enablement content.