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This week’s guest is Jin Kim - MIT graduate and founder & CEO of Miracle (YC), a clinical operations platform transforming how trials are run across biopharma. Miracle delivers real-time visibility across systems, sites, and vendors - helping biotech teams detect risks early, improve oversight, and finish studies months ahead of schedule.

Before founding Miracle, Jin worked across clinical operations and data science, witnessing firsthand how fragmented systems and manual trackers slow drug development. At Miracle, he and his team channel that experience into a platform that unifies every dataset and stakeholder into one source of truth - so teams can anticipate issues, stay compliant, and make decisions with confidence.

“Miracle shines a spotlight on what used to be a black box - giving biotech teams real-time oversight to see what’s working, what’s not, and finish studies months ahead of schedule.”

This episode is for clinical ops leaders, biotech GTM operators, and anyone curious how visibility, data, and accountability can reshape life sciences.

Listen & subscribe now across:
YouTube // Apple // Spotify

In This Episode

Jin’s journey: the challenges that led to Miracle
How data silos slow down trials
What it takes to build unified, integrated data systems
Daily data cleaning and maintenance
Enrollment forecasting & site strategy
Real-time tracking (especially for rare disease and decentralized trials)
Dashboards, alerts, and communications with study sites
Holding teams, vendors, and sites accountable
Compliance, security, and regulatory guardrails
Onboarding expectations & time to value
Future of clinical ops: AI, automation, and what’s next
Rapid Fire: Key lessons & closing thoughts

This episode in the Library: the written playbook, the stack and the full transcript, free and open. Open it at pro.gtmvault.co.

5 GTM Takeaways to Steal

Live visibility > static reports
Integration is the foundation, not optional
Forecasting only works with unified data
Accountability is baked in with transparency
AI can scale ops — but only after the data plumbing is in place

Episode Highlights

00:00 – Intro: Meet Jin Kim & the vision behind Miracle

03:01 – The cost of data silos in clinical trials

06:00 – How Miracle integrates across disparate systems

08:20 – Continuous data cleaning & quality

11:03 – Enrollment projections & optimization

13:31 – Real-time tracking in rare and decentralized trials

15:38 – Dashboards and site communication

17:58 – Accountability across teams, vendors, and sites

20:43 – Compliance, security, and regulatory guardrails

23:09 – Onboarding, expectations & initial value

25:35 – The future of clinical operations: AI & beyond

28:09 – Rapid Fire: Key insights & closing thoughts

Further Reading

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Connect

Follow Jin Kim: LinkedIn // Miracle
Follow Rick Koleta: LinkedIn // RiteGTM

Miracle aims to cut months off trials — and this episode shows exactly how data, transparency, and emerging tech can get you there.

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Full transcript, searchable to the timestamp: pro.gtmvault.co/episodes/gtm-29.

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