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Ipsen Global

Global biopharma focused on specialty care

Head of Applied AI & Data Science

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • An advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field is required.
  • At least 10 years of experience in data science, AI, or related fields, including at least 5 years in a leadership role.
  • A proven track record of leading and managing data science and AI teams, ideally in the pharmaceutical or healthcare industry.
  • Extensive experience developing and implementing AI and advanced analytics solutions, including internal product development and third-party AI solutions.
  • A strong background in regulatory compliance, data privacy, and security standards relevant to the pharmaceutical industry.
  • Expertise in data science, data engineering, and AI, including machine learning, deep learning, natural language processing, generative AI, agentic AI, and large language models such as Claude, LLaMA, and GPT.
  • Expertise in machine learning and deep learning development and deployment frameworks, including scikit-learn, PyTorch, and MLflow.
  • Experience with data analysis using Pandas, data transformation using dbt, and data management.
  • Experience with cloud data and AI services from Azure and AWS, including S3, Glue, OpenSearch, Bedrock, and Azure OpenAI, and cloud data platforms such as Databricks.
  • Experience with data programming languages: Python, R, and SQL.
  • Experience with Agile methodology and the software development lifecycle.
  • Skill with collaboration tools such as Jira and Confluence.
  • Capability in technical architecture and solution design, change management, and UX/UI design.
  • Ability to work in a matrix organization and develop and coach talent.
  • Ability to ensure accountability for high-quality delivery and apply a business-centric, value-driven approach.
  • An agile mindset and ability to adapt to changing environments.

Responsibilities

  • Design, implement, and govern the technical strategy for enterprise advanced analytics and AI, establishing robust and scalable capabilities, standards, methodologies, and best practices aligned with Ipsen's Business Data & AI Strategy and internal policies and external regulations.
  • Contribute to the enterprise AI strategy in collaboration with GDIT and business teams.
  • Partner with business domains to understand their needs, identify opportunities, and deliver data and AI solutions that drive business value.
  • Provide technical leadership for advanced analytics and AI initiatives and oversee the full development lifecycle of data and AI products, from feasibility and minimum viable product development through scaling and maintenance, through direct involvement or supervision and guidance.
  • Ensure best practices in AI and data science and maintain quality, reliability, and performance throughout product lifecycles.
  • Oversee the integration of data and AI models into existing systems and their deployment and monitoring in production environments.
  • Assess third-party AI solutions for technical performance, regulatory compliance, security, and strategic alignment; ensure selected solutions meet quality, reliability, and ethical standards; and support adoption of solutions such as enterprise productivity tools across Ipsen.
  • Develop metrics to monitor the performance and impact of AI and data science initiatives and report project progress and outcomes to senior leadership and stakeholders.
  • Lead the Data Science & AI Center of Excellence, build data and AI awareness across Global Digital, IT, and business functions, and foster the data science and AI engineering community across Ipsen.
  • Communicate initiative outcomes and complex AI concepts clearly and actionably to business leaders and internal and external audiences to promote understanding, collaboration, and awareness of AI's strategic value.
  • Lead and mentor a team of data scientists, data engineers, and AI engineers and foster innovation and continuous improvement.
  • Drive adoption of tools and technologies to enhance team capabilities.
  • Encourage exploration of new technologies and methodologies, stay current with AI and data science advancements, and lead research into emerging techniques and potential applications.
  • Collaborate with business partners, data delivery leads, data managers, platform engineers, and other cross-functional teams to implement data and AI products successfully.
  • Ensure efficient allocation of data and AI resources involved in initiatives.
  • Manage vendor relationships and oversee procurement activities supporting the strategic goals of data science and AI.
  • Ensure compliance with relevant regulations, including the AI Act, and standards, maintaining the integrity and ethical standards of AI and data science initiatives in collaboration with Legal, Data Privacy, Quality, and Security teams.

About the Company

Ipsen Global

Global biopharma focused on specialty care

Ipsen is a global biopharmaceutical company that concentrates on specialty care, developing and marketing medicines for oncology, neuroscience, and rare diseases. Its products work by treating specific high-need conditions, ranging from historical diarrhea treatment Smecta to modern targeted therapies in cancer and neurological disorders. The company differentiates itself through a focused portfolio in niche therapeutic areas, growth via strategic acquisitions, and a long-standing family heritage that shaped its international expansion and IPO-driven capital for expansion. Its goal is to address unmet medical needs worldwide by providing effective therapies for patients with serious or rare conditions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Boulogne-Billancourt, France
Founded
2005

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