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Medidata Designer: Transforming the Way Studies Are Built.

The details of my work at Medidata are protected under NDA. However, I’ve shared a high-level overview of my contributions, key projects, and takeaways below. If you’re a recruiter or hiring manager, you’ll find the password to access full case studies on my resume. Click on "View Case Studies" below. If you need the password, email me

OVERVIEW

At Medidata, I was a Senior Product Designer on the Data Management team, working on the Study Build platform and its core tool, Medidata Designer.

 

I partnered with PMs, engineers, and data scientists to streamline how clinical trials are designed and launched, leading initiatives around AI-powered tooling, usability improvements, and scalable design systems. The work supported over 36,000+ trials and 11+ million patients worldwide.

ROLE 

Senior Product Designer

TIMELINE

July '24 - July '25

TEAM

3 Product managers, 1 Senior UX designer, 8 Data Scientists, Design Manager, and 15 Engineers.

Medidata Designer is used by Study Builders, Data Managers, and Clinical Programmers to set up trial forms, visits, workflows, and data validation rules. It simplifies how clinical trials are structured, improves accuracy, and ensures regulatory compliance before a study goes live. 

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PROJECT HIGHLIGHTS

As a Senior Product Designer, I wore multiple hats - strategy, interaction design, user research, and usability testing across multiple projects. I conducted UX audits and journey mapping to improve key workflows, consistently balancing user needs, technical constraints, and business goals.

The AI Requirement Generation Tool: enables Study Builders and Data Managers to auto-generate study requirements with the help of AI, reducing setup time from 3 days to ~ 20 minutes.

PRODUCT DESIGN

AI

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Global Library Vision (2026 Roadmap): Designed user journeys, permission models, and reusable patterns for Medidata’s library, supporting consistency, governance, and scalability across 4+ product teams. 

STRATEGY

PRODUCT DESIGN

USER RESEARCH

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Configurable Defaults: Designed a centralized settings system that allowed study builder admins to set character limits, date/time formats, numeric validations, and special character restrictions. 

PRODUCT DESIGN

USABILITY TEST

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UX Audits: Led UX audits and conducted usability tests with clients, resolving 45+ issues across Medidata Study Build. Improvements led to higher user satisfaction, faster task completion, and reduced bounce rates.

USABILITY TEST

PRODUCT DESIGN

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Framing Workshop: led a workshop with 3 PMs, 8 Engineers, 4 Data Scientists, a Principal Designer, and a Senior Product Designer to align on product strategy, user needs, and business goals.

AI Workshop

PRESS RELEASE

A few notable press releases and articles following the launch of key initiatives related to Medidata Designer and Study Build. More will be added here as they’re published.

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Unified Data Experience from Medidata Paves Way for New Industry Standard Across Leading Biopharma Companies and Contract Research Organizations.

In the past 18 months, biopharmaceutical companies and contract research organizations, including Eisai, Bioforum, etc, have adopted Medidata Designer

Source: Medidata.com

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Medidata Debuts Protocol Optimization at ASCO, Leveraging AI to Transform the Study Experience

Medidata Protocol Optimization, a flagship component of the unified Study Experience, transforms trial design and execution by leveraging AI-driven....

Source: Medidata.com

The details of my work at Medidata are protected under NDA. However, I’ve shared a high-level overview of my contributions, key projects, and takeaways below. If you’re a recruiter or hiring manager, you’ll find the password to access full case studies on my resume. Click on "View Case Studies".

REFLECTION

Things I learned.

Strategic Framing in Ambiguity

Learned how to lead early-stage framing workshops to align PMs, Engineers, and Data Scientists when product goals and AI capabilities were still unclear. Helped define scope, surface risks, and shape MVP direction with cross-functional input.

Turning AI Potential into Product Reality

Worked closely with engineering/data science teams to design around model behavior, thinking through latency, output accuracy, and feedback states. Focused on creating AI-powered tools that still felt intuitive and usable for non-technical users

Designing for Scale and Reuse

Shifted from feature-focused work to thinking in systems. Contributed to the vision for Medidata’s 2026 Global Design Library by identifying scalable patterns that could be reused across teams and products.

Simplifying Enterprise Complexity

I learned how to make complex workflows easier to use without removing the details. Every form and rule has a purpose, so the challenge was simplifying the experience while still giving users the control they need.

Let's work together.
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© 2025 by Nikith DSouza

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