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Fda Job Jobs (NOW HIRING)

Accompany an FDA-commissioned inspector to designated retail locations to assess compliance with tobacco sales regulations. * Attempt to purchase tobacco products while strictly adhering to FDA ...

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Fda Job information

What is the difference between Fda Job vs Food Scientist?

AspectFda JobFood Scientist
Required CredentialsBachelor's degree in life sciences, regulatory affairs, or related field; sometimes advanced degreesBachelor's or master's in food science, microbiology, or chemistry
Work EnvironmentRegulatory agencies, laboratories, inspection sitesFood manufacturing facilities, laboratories, research settings
Industry UsageGovernment regulatory body overseeing food safetyPrivate sector food companies, research institutions
Common Search/ComparisonFda Job vs Food ScientistFood Scientist roles and responsibilities

Fda Jobs primarily focus on regulatory compliance, inspections, and policy enforcement within government agencies. Food Scientists, on the other hand, work in research and development, product testing, and improving food safety in private or academic sectors. While both roles involve food safety, Fda Jobs are centered on regulation and oversight, whereas Food Scientists focus on innovation and product quality.

More about Fda Job jobs
What cities are hiring for Fda Job jobs? Cities with the most Fda Job job openings:
What states have the most Fda Job jobs? States with the most job openings for Fda Job jobs include:
Infographic showing various Fda Job job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 11% Full Time, and 78% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Senior Project Manager (FDA Background)

Senior Project Manager (FDA Background)

Oran Inc

Washington, DC

Other

Posted 21 days ago


Job description

Position Overview

We are seeking an experienced Senior Project Manager with a strong FDA background and experience leading Artificial Intelligence (AI) initiatives within regulated environments. The ideal candidate will manage complex projects across FDA programs, ensuring compliance with regulatory requirements while driving innovation through AI, automation, data analytics, and digital transformation solutions.

Key Responsibilities

  • Lead the planning, execution, and delivery of FDA-regulated projects and programs.
  • Manage cross-functional teams, stakeholders, vendors, and technical resources.
  • Oversee project schedules, budgets, risks, and performance metrics.
  • Ensure compliance with FDA regulations, policies, and quality standards.
  • Drive AI and digital transformation initiatives, including Generative AI, machine learning, automation, and advanced analytics solutions.
  • Collaborate with business and technical teams to identify opportunities for AI-enabled process improvements and operational efficiencies.
  • Develop project plans, governance frameworks, status reports, and executive briefings.
  • Support change management, user adoption, and stakeholder engagement activities.
  • Maintain audit-ready project documentation and ensure adherence to regulatory and organizational requirements.

Required Qualifications

  • Bachelor's degree in Business, Information Technology, Life Sciences, Engineering, Public Health, or a related field.
  • 8+ years of project or program management experience.
  • Experience supporting FDA organizations, FDA-regulated industries, or federal health programs.
  • Demonstrated experience managing AI, Generative AI, machine learning, automation, or data-driven transformation projects.
  • Strong understanding of FDA regulatory processes and compliance requirements.
  • Experience leading cross-functional teams in complex, highly regulated environments.
  • Excellent communication, leadership, organizational, and stakeholder management skills.

Preferred Qualifications

  • PMP, PgMP, Agile, Scrum, or equivalent certification.
  • Experience supporting FDA Centers or Programs such as CDER, CBER, CDRH, ORA, HFP, OCE, or related organizations.
  • Familiarity with AI governance, responsible AI practices, data management, and emerging technologies.
  • Experience with cloud platforms, analytics tools, or enterprise digital transformation initiatives.