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13 часов назад

Deployment Strategist (Life Sciences)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Deployment Strategist (Life Sciences): Leading end-to-end AI product deployments and customer success initiatives for life sciences organizations with an accent on workflow discovery, solution design, and cross-functional stakeholder management. Focus on driving adoption, retention, and measurable ROI within highly regulated environments like biotech, pharma, and MedTech.

Location: Must be based in Palo Alto, CA (On-site 5 days/week) with 25–50% travel required.

Company

A leading generative AI company building the world’s first healthcare-only, safety-focused LLM platform to transform patient outcomes.

What you will do

  • Own end-to-end customer deployments including workflow discovery, solution design, configuration, and rollout.
  • Serve as the primary relationship owner for life sciences accounts, driving adoption, retention, and renewals.
  • Partner with Forward Deployed Engineers to integrate data into stable pipelines and ensure technical execution.
  • Build customized workflows for patient services, clinical operations, and HCP enablement.
  • Present deployment results and strategic proposals to audiences ranging from Directors to C-suite executives.
  • Ensure deployments meet rigorous life sciences standards including GxP, HIPAA, and FDA/EMA expectations.

Requirements

  • Bachelor’s degree required.
  • 5+ years of experience in life sciences consulting and customer-facing strategy/implementation.
  • Must be able to work on-site in Palo Alto, CA, five days a week.
  • Ability to travel 25–50% for client engagements.
  • Strong analytical skills with proficiency in Python, R, or SQL.
  • Proven experience leading complex implementations in fast-paced, ambiguous environments.

Nice to have

  • Background in top life sciences consulting firms or forward-deployed models.
  • Experience scaling AI, ML, or enterprise SaaS products.
  • Familiarity with life sciences regulations such as GxP, GCP, 21 CFR Part 11, and HIPAA.
  • Startup experience and comfort building processes from scratch.

Culture & Benefits

  • Work alongside experts from top institutions like Stanford, Johns Hopkins, Google, and NVIDIA.
  • Opportunity to shape category-defining technology in the healthcare AI space.
  • High-impact role with direct exposure to senior leadership and C-suite clients.
  • Collaborative, fast-paced environment focused on safety and transformative patient outcomes.

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