Agent Deployment Architect – Pharmaceutical Integrations
| Company | Hippocratic AI |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s or Master’s degree in Computer Science, Business, Life Sciences, or a related field.
- 5+ years of experience in healthcare or pharmaceutical implementation, product management, or technical solutions roles.
- Proven experience integrating with enterprise healthcare systems (e.g., EHRs, clinical trial management platforms, pharmacovigilance systems).
- Familiarity with healthcare data standards (e.g., FHIR, HL7) and pharma-specific regulatory requirements (e.g., GxP, FDA 21 CFR Part 11).
- In-depth understanding of pharma workflows, including clinical trials, regulatory submissions, and drug safety processes.
- Demonstrated ability to build strong client relationships and deliver exceptional product support in the pharma sector.
- Proficiency in translating client needs into actionable product requirements for internal teams.
Responsibilities
- Lead the technical engagement with pharmaceutical companies during pre-sales and post-sales phases, ensuring our technology meets their specific needs.
- Act as the primary liaison for pharma organizations, providing expertise on product features, functionalities, and relevant use cases.
- Provide specialized guidance on pharma industry-specific workflows, including regulatory compliance, clinical trial management, drug safety monitoring, and patient engagement.
- Collaborate with internal teams (product, engineering, clinical, AI, and sales) to drive successful pharma-specific integrations and product enhancements.
- Develop playbooks and tools to streamline key pre-sales and implementation activities, ensuring scalability across multiple pharma engagements.
- Address complex technical topics, including data integrations (EHR, CRM, R&D platforms), product configuration, and regulatory interoperability standards.
Preferred Qualifications
- Familiarity with Python for debugging and automation purposes.
- Experience in start-up environments, particularly in healthcare or life sciences.
- Knowledge of AI applications in pharma, such as drug discovery, patient recruitment, and real-world evidence generation.