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2 дня назад

Head of Applied AI & Data Science (AI)

180 000 - 260 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
France/UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Head of Applied AI & Data Science (AI/Data Science): Developing and governing enterprise AI and advanced analytics capabilities for a global biopharmaceutical company with an accent on AI product lifecycles, regulatory compliance, and scalable data and AI platforms. Focus on leading the Data Science & AI Center of Excellence, deploying and monitoring machine learning models, evaluating third-party AI solutions, and mentoring data science and engineering teams.

Location: Cambridge, United States

Annual base salary: $180,000–$260,000, plus eligibility for short-term incentives.

Company

Global biopharmaceutical company focused on transformative medicines in oncology, rare disease, and neuroscience.

What you will do

  • Design, implement, and govern the technical strategy for enterprise AI and advanced analytics.
  • Lead the full lifecycle of data and AI products, from feasibility and MVP development through scaling, deployment, monitoring, and maintenance.
  • Evaluate and support adoption of third-party AI solutions, considering performance, security, compliance, ethics, and strategic fit.
  • Lead the Data Science & AI Center of Excellence and foster the engineering community across the organization.
  • Mentor data scientists, data engineers, and AI engineers while driving adoption of new tools and technologies.
  • Partner with business leaders, technical teams, legal, privacy, quality, security, and vendors to deliver compliant AI initiatives.

Requirements

  • Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • At least 10 years of experience in data science, AI, or related fields, including at least 5 years in leadership.
  • Proven experience leading data science and AI teams, ideally in pharmaceutical or healthcare environments.
  • Expertise in machine learning, deep learning, NLP, generative AI, agentic AI, and LLMs.
  • Experience with Python, R, SQL, Scikit-learn, PyTorch, MLflow, Pandas, dbt, Azure, AWS, and Databricks.
  • Strong knowledge of regulatory compliance, data privacy, security standards, technical architecture, solution design, and agile delivery.

Culture & Benefits

  • Collaborative, human-centric workplace focused on innovation, inclusion, and impact.
  • 401(k) with company contributions and group medical, dental, and vision coverage.
  • Life and disability insurance, flexible spending accounts, parental leave, and paid time off.
  • Discretionary winter shutdown, well-being allowance, commuter benefits, and additional employee benefits.

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