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обновлено 1 месяц назад

Agent Deployment Architect (Pharmaceutical Integrations)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Agent Deployment Architect (Pharmaceutical Integrations): Lead technical engagements and integrations of a safety-focused healthcare LLM with pharmaceutical companies, ensuring compliance with complex regulatory and operational requirements. Focus on designing pharma-specific workflows, data integrations, and optimizing AI technology use in clinical and drug safety processes.

Location: United States

Company

hirify.global develops the first safety-focused Large Language Model for healthcare, aiming to improve global health outcomes through advanced AI technology.

What you will do

  • Lead technical engagement with pharmaceutical companies during pre-sales and post-sales phases.
  • Serve as primary liaison providing expertise on product features and pharma use cases.
  • Guide pharma-specific workflows including regulatory compliance and clinical trial management.
  • Collaborate with product, engineering, clinical, AI, and sales teams for successful integrations.
  • Develop playbooks and tools to streamline implementation activities across pharma clients.
  • Address complex technical topics such as data integrations and regulatory interoperability.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Business, Life Sciences, or related field.
  • 5+ years experience in healthcare or pharmaceutical implementation or technical roles.
  • Proven experience integrating enterprise healthcare systems (EHRs, clinical trial platforms).
  • Familiarity with healthcare data standards (FHIR, HL7) and pharma regulatory requirements (GxP, FDA 21 CFR Part 11).
  • Strong understanding of pharma workflows including clinical trials and drug safety.
  • Ability to build client relationships and translate needs into product requirements.

Nice to have

  • Python skills for debugging and automation.
  • Experience in healthcare or life sciences startups.
  • Knowledge of AI applications in pharma such as drug discovery and patient recruitment.