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Food and Drug Administration

Economist

Silver Spring, MD · On-site +1

$143.91K - $226.14K/yr

Provides consulting services and advice on economic, quantitative public health, and other analytic issues to FDA centers, the Office of the Commissioner, and other FDA collaborators as they develop ...

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As of May 31, 2026, the average hourly pay for fda commissioner in the United States is $41.17, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $52.16 per hour, depending on experience, location, and employer.

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To thrive as an FDA Commissioner, you need an advanced degree in medicine, public health, or a related field, extensive leadership experience, and a deep understanding of regulatory science and policy. Familiarity with federal regulatory frameworks, data analysis systems, and public health informatics is essential, along with experience navigating legislative and policy-making environments. Exceptional communication, diplomacy, and decision-making skills help build consensus among diverse stakeholders and manage public health crises. These competencies ensure effective oversight of food and drug safety, promote public trust, and advance the agency's mission in a complex regulatory landscape.

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One of the primary challenges for an FDA Commissioner is balancing the need for rigorous scientific evaluation with timely access to new medical products and therapies. The Commissioner must also navigate complex regulatory frameworks, respond to public health emergencies, and coordinate with various stakeholders, including government agencies, industry leaders, and the public. Managing a large, multidisciplinary team and maintaining transparency and public trust are also essential aspects of the role. These responsibilities require strong leadership, adaptability, and excellent communication skills.

What does an FDA Commissioner do?

The FDA Commissioner is the head of the U.S. Food and Drug Administration, responsible for overseeing the safety and effectiveness of food, drugs, medical devices, cosmetics, and other products regulated by the agency. The Commissioner sets policy direction, manages the agency’s operations, and works closely with other government officials, industry, and the public to ensure products are safe and properly labeled. They also play a key role in responding to public health emergencies and shaping national health policy.
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Infographic showing various Fda Commissioner job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $85,636 per year, or $41.2 per hour.

Staff AI Machine Learning Engineer

Medeloop

San Francisco, CA

Other

Posted 9 days ago

Job description

The Role

We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI - and a true passion for experimentation and creation - to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop's technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. 

What You'll Own
  • Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A).
  • Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows).
  • Develop rigorous evaluation and safety frameworks - automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production.
  • Drive LLM and ML model development - train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges.
  • Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership.
  • Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.
What We're Looking For
  • 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains.
  • Experience working on analytic engines (or advanced analytics platforms) - designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale.
  • Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms.
  • Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).
  • Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors.
  • A builder/experimenter mindset - you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems.
  • Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.
Bonus Points
  • Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility).
  • Multi-cloud experience (AWS, Azure, GCP)
Why Medeloop
  • Ownership from day one: small team, high-trust, no layers between your work and its impact
  • Technically ambitious: you'll build AI-powered workflows, not just support them
  • Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
  • Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Apply