Job Details

US, Product Manager, Data Analytics- Remote

Product Manager Data Analytics

Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of their location or financial situation. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in Boca Raton, FL, our passionate changemaking team is looking for a Product Manager. In this position, you will take the lead within the organization for product planning, product management, and coordination of downstream product release deliverables. As a key member of the Product Management Team, you will lead market research to identify novel products, determine product requirements, and work collaboratively with software engineering to determine production timelines and success criteria, prepare go-to-market plans and marketing briefs, and monitor the product projects from concept to launch. If you are a collaborative and motivated product leader looking to join a growing company with a focus on better clinical outcomes for cancer patients, then Massive Bio may be the perfect place for you.

Reporting to the CPO, the Product Manager for Data Analytics will:

• Apply data mining techniques to extract meaningful patterns and insights from clinical, genomic, and operational datasets to guide product development.
• Oversee usability testing, gather user feedback, and drive continuous improvement across the product lifecycle.
• Collect and secure structured and unstructured training datasets for AI model development.
• Conduct market research to identify key customer segments.
• Gather user input from clinical case managers on existing solutions and future product roadmap.
• Identify and secure training data sets.
• Monitor competitors and market trends to inform product roadmaps.
• Conduct usability studies and gather user feedback.
• Triage and manage improvement requests from various sources..
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