Full-Time

Solutions Architect

Pharmaceutical Integrations

Confirmed live in the last 24 hours

Hippocratic AI

Hippocratic AI

Senior

Palo Alto, CA, USA

The team works together in the Palo Alto, CA office five days a week.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Product Management

You match the following Hippocratic AI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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.
Desired 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.

Company Stage

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Total Funding

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Headquarters

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Founded

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