Description:

Join the Team Modernizing Medicine

At ModMed, we're not just building software—we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence
When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

Consistently ranked as a Top Place to Work
2025 Globee Business Awards: Gold Globee for “Technology Team of the Year”
2025 Black Book Awards: Ranked #1 EHR in 11 Specialties
Florida Venture Forum: Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:
The Real World Data Associate General Counsel serves as the lead legal advisor on Real World Data (RWD), healthcare data monetization, privacy, and analytics initiatives. This role acts as a primary strategic partner across business, product, data science, and life sciences teams, ensuring complex healthcare data transactions and AI/ML deployments comply with legal, regulatory, and ethical standards while advancing commercial growth.

Your Role:

Real World Data (RWD) & Data Licensing Strategy: Serve as the primary legal advisor for RWD initiatives, data acquisition, data monetization, and analytics partnerships. Counsel leaders on data governance, secondary data use, and health data commercialization strategies.
Commercial Contracting & Data Transactions: Draft, review, and negotiate complex data agreements, including data use agreements (DUAs), life sciences/pharma licensing, data feed acquisition, AI training data rights, and strategic technology partnerships.
Healthcare Regulatory, Privacy & De-Identification: Provide subject matter expertise on HIPAA de-identification standards (Safe Harbor & Expert Determination), state privacy laws (e.g., Washington My Health My Data), Common Rule, and FDA guidance on Real World Evidence (RWE).
IP & Data Rights Protection: Advise on intellectual property matters involving data ownership, database rights, derivative insights, proprietary algorithms, open-source considerations, and AI model ownership.
Cross-Functional Collaboration: Partner with Data Science, Engineering, Product Development, InfoSec, Compliance, and Life Sciences Sales to align business objectives with regulatory compliance and data security requirements.
Risk Assessment & Mitigation: Assess risks associated with re-identification, data linkage, tokenization, and emerging AI/ML regulations, translating complex laws into actionable business guidance.
Legal Operations & Playbooks: Develop and refine standardized data licensing playbooks, template DUAs, and contracting workflows to streamline RWD transaction cycles.

Skills & Requirements:

Law Degree
7–10+ years of legal experience, with at least 4+ years specializing in healthcare data, Real World Data (RWD), or life sciences data transactions.
Deep experience negotiating complex commercial transactions involving health data licensing, data supply feeds, and SaaS solutions.
Demonstrated expertise in HIPAA compliance, de-identification methodologies (Safe Harbor & Expert Determination), and US health data privacy frameworks.
Strong understanding of data ownership, IP rights in data derivative products, and clinical data governance.

Preferred:

Experience with health data tokenization, dataset linking, and third-party data broker models.
Expertise in legal frameworks surrounding AI/ML model training, clinical algorithms, and machine learning governance.
In-house legal experience at a healthtech, EHR, healthcare analytics, or pharmaceutical enterprise.