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Senior Healthcare AI Agent Engineer/Scientist for ARPA-H

ECS Tech Inc

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Original Job Summary

Overview

ECS Tech Inc is seeking a Senior Healthcare AI Agent Engineer/Scientist to support ARPA-H and work remotely. This role involves applying expertise in the clinical application of AI, generative AI, agentic AI, and medical Large Language Models (LLM) to support cutting-edge R&D projects under ARPA-H's mission.

Responsibilities

  • Collaborate with a multidisciplinary team to develop breakthrough generative and agentic AI applications for acute and chronic disease management.
  • Provide subject matter expertise in the clinical application of AI and next generation AI technologies.
  • Evaluate technical proposals, organize reviewer comments, and draft recommendations including project summaries and presentation materials.
  • Conduct market and regulatory analyses, technical due diligence, literature reviews, and generate briefing documents on AI in healthcare.
  • Develop technical and administrative programmatic documentation on tight timelines covering approach, progress, cost, schedule, and risk.

Qualifications

  • A PhD is preferred; MS with 2+ years or BA with 4+ years industry experience is acceptable.
  • Strong team collaboration and excellent communication, writing, and organizational skills.
  • Experience in healthcare application development with electronic health records (EHR) access and data utilization.
  • Expertise in development or evaluation of generative AI applications such as LLMs and AI agents.
  • Familiarity with industry leaders and disruptors in advanced AI development.

Salary & Benefits

Salary Range: $140,000 - $200,000 annually. See our Benefits page for more details.

Key skills/competency

  • Healthcare AI
  • Generative AI
  • Agentic AI
  • Medical LLM
  • Clinical applications
  • EHR integration
  • Technical due diligence
  • Regulatory analysis
  • Program documentation
  • Market analysis

How to Get Hired at ECS Tech Inc

🎯 Tips for Getting Hired

  • Research ECS Tech Inc's culture: Study their mission, values, and projects.
  • Customize your resume: Highlight clinical AI and technical expertise.
  • Prepare detailed case studies: Demonstrate relevant R&D accomplishments.
  • Practice technical interviews: Focus on AI, LLMs, and healthcare applications.

📝 Interview Preparation Advice

Technical Preparation

Review fundamentals of generative AI techniques.
Study agentic AI and clinical LLM applications.
Practice data science and EHR integration challenges.
Examine regulatory compliance in healthcare technology.

Behavioral Questions

Describe teamwork in challenging situations.
Explain time management under tight deadlines.
Discuss effective communication in remote work.
Share experience handling cross-functional feedback.