Parexel
Principal Compliance Consultant (Former FDA ORA/OMQ Experience Preferred)
United States - Remote · Principal
Sponsorship not specified$50k-$70kDetected 30 days ago
Business DevelopmentClinical TrialsPublic HealthGMPFDA RegulatoryLeadershipCommunicationMentoringRegulatory Affairs
About the role
- From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
- Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient.
- We take our work personally, we do it with empathy and we're committed to making a difference.
Responsibilities
- Lead inspection readiness and mock inspection programs, helping clients prepare with confidence
- Advise on and support response strategies for:
- Collaborate across cross-functional teams to support complex quality and regulatory engagements
- Mentor team members and contribute to building internal expertise
- Developing Import Alert recommendations
- Partner with organizations to resolve complex issues rather than only documenting them
Requirements
- Prior experience with the U.S. Food and Drug Administration in inspection, compliance, or enforcement roles
- Strong understanding of GMP compliance and pharmaceutical manufacturing systems
- Ability to translate regulatory expectations into clear, actionable solutions for clients
- Ability to travel 50-70% with a focus on international travel
- 15+ years of related experience, including significant FDA experience in inspection, compliance, or enforcement roles
- Experience Required
Nice to have
- Preferred Technical Expertise
- Advanced degree preferred (e.g., MPH, MS, PhD, MBA)
Compensation
- $50k-$70k
Equal opportunity
- EEO Disclaimer
- equal opportunity employer.
Apply directly at Parexel →Create a free account for alerts like thisView Parexel immigration profile
This listing is sourced directly from Parexel's careers page and normalized into a canonical job model.