Senior Product Analyst - Clinical Research Products

About the Role

The role entails working closely with cross-functional teams to identify AI-enabled use cases, build prototypes, and configure, test, and refine solutions. The ideal candidate will have a strong emphasis on hands-on delivery, rapid experimentation, and learning-by-doing through applied digital and AI solutions. With a focus on user-centric design, the Senior Product Analyst will translate strategy into user stories, workflows, and specifications for process optimization.

The Senior Product Analyst will be part of a team that is passionate about advancing oncology treatments and improving outcomes for cancer patients across the globe. The company's mission-driven approach and commitment to innovation create a dynamic and collaborative work environment.

What You Will Do

• Partner with business and IT teams to gather, document, and prioritize requirements
• Own end-to-end problem discovery through pilot delivery for assigned initiatives
• Participate in cross-functional workshops to identify AI-enabled use cases and build prototypes
• Configure, test, and refine solutions hands-on
• Translate strategy into user stories, workflows, and specifications for process optimization
• Contribute directly to backlog refinement, release planning, and UAT
• Ensure solutions align with enterprise data strategy, integration needs, and 21 CFR Part 11 requirements
• Support change management, documentation, and user enablement for sustainable adoption
• Document reusable patterns, playbooks, and AI/automation components to accelerate future initiatives

What We Are Looking For

• Advanced analytical and problem-solving skills to identify business problems and define solution options
• Proficiency with Microsoft Excel and experience with AI-driven solutions
• Knowledge of Agile, SDLC, and regulatory considerations in clinical research environments
• Awareness of data governance, interoperability standards, and digital adoption analytics
• Familiarity with coding principles, AI tools, and APIs
• Ability to work independently and collaborate effectively with leaders, product owners, and stakeholders
• Strong communication skills to translate business needs into clear technical requirements
• Experience with process-mining and workflow analysis to uncover automation opportunities

Nice to Have

• Experience with AWS, Azure, and modern research applications vendors
• Familiarity with project management tools such as Jira, Confluence, Planview, and Smartsheets
• Knowledge of clinical research and oncology treatments
• Certification in data analytics or a related field

Benefits and Perks

• Competitive compensation package
• Comprehensive health insurance
• Generous PTO and holiday schedule
• Remote work stipend and flexible work arrangements
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Mission-driven organization with a focus on improving patient outcomes

• When applying, be sure to highlight your experience with Excel and AI-driven solutions, as well as your ability to work independently and collaboratively.
• To stand out, prepare examples of how you have applied analytical and problem-solving skills to drive business outcomes in previous roles.
• Familiarize yourself with the company's mission and values, and be prepared to discuss how your skills and experience align with their goals.
• Consider creating a portfolio that showcases your experience with data analytics and AI-driven solutions, and be prepared to walk through your process and results.
• During the interview process, ask questions about the company culture, team dynamics, and opportunities for growth and development to demonstrate your interest in the role and the organization.
• Be prepared to discuss your experience with regulatory considerations in clinical research environments, and how you have ensured data integrity and compliance in previous roles.