Head of Applied AI & Data Science

Ipsen; Cambridge (MA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

401(k) with company contributions

Medical, dental and vision insurance

Life and disability insurance

Short- and long-term disability

Flexible spending accounts

Parental leave

Paid time off

Well-being allowance

Commuter benefits

Job summary

Ipsen Bioscience, Inc. is seeking a Head of Applied AI & Data Science in Cambridge, MA. You will lead the enterprise AI strategy, oversee data science and AI engineering teams, and partner with business domains to deliver scalable AI products.

You will mentor a diverse team and drive responsible AI adoption across Ipsen’s Digital IT and business functions, ensuring compliance and impactful outcomes.

Qualifications

• Advanced degree in a related field (MS/PhD).
• 10+ years in data science/AI with leadership.
• Proven track record leading data science and AI teams.
• Experience deploying internal products and evaluating third-party AI solutions.

Responsibilities

• Design and govern the technical strategy for enterprise analytics and AI.
• Lead the Data Science & AI Center of Excellence.
• Mentor data scientists, data engineers, and AI engineers.
• Collaborate with business domains to deliver data/AI solutions.
• Ensure compliance with relevant regulations and safety standards.
• Communicate outcomes to senior leadership and stakeholders.

Skills

Leadership

Communication

Strategic thinking

Data Science

AI/ML

Team collaboration

Growth mindset

Education

Advanced degree in Computer Science / Data Science / AI

Tools

PyTorch

MLflow

Databricks

Azure AI

OpenAI technologies

Python

SQL

Job description

Title:

Head of Applied AI & Data Science

Company:

Ipsen Bioscience, Inc.

About Ipsen:

Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.

Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!

For more information, visit us at **https://www.ipsen.com/**and follow our latest news on LinkedIn and Instagram.

Job Description:

Summary

The Head of Applied AI & Data Science is a pivotal role within the Global Data & AI Department. This position acts as a leader and strategist, responsible for developing and governing the technical strategy and the capabilities for enterprise advanced analytics and AI that enable Ipsen’s Business Data & AI Strategy. The Head of Applied AI & Data Science fosters deep partnerships with business domains, provides technical leadership for data/AI initiatives, and oversees the entire lifecycle of data and AI products, including the development of internal products and the adoption of third-party off-the-shelf AI solutions. Additionally, this position champions the Data Science & AI Center of Excellence, mentors a team of data scientists, data engineers, and AI engineers, and drives the adoption of new tools and technologies to enhance the team’s capabilities. Effective communication with business leaders and stakeholders, as well as ensuring compliance with internal policies and relevant regulations, are also key responsibilities of this role.

The Global Digital IT (GDIT) division is dedicated to being the business partner of choice for digital, data, and technologies, delivering outstanding value at speed and scale for patients and Ipsen. In this transformative context, GDIT plays a crucial role in driving innovation and efficiency across the organization.

The Global Data & AI Division within GDIT was established to enhance Ipsen’s Data and AI capabilities and serve as a key business enabler. This central Hub for Data, Analytics, and AI unites diverse expertise to foster collaboration and deliver value throughout the data lifecycle. The division is structured around six core functions (Data & AI Strategy, Product & Delivery Management, Data Science & AI Engineering, Data Integration & Analytics, Data Governance & Data Management, Platform Engineering) to ensure the comprehensive delivery of data and AI initiatives while maintaining strong, scalable data governance and foundations.

Main Responsibilities

• Design, implement and govern the technical strategy for enterprise advanced analytics and AI, ensuring robust and scalable capabilities, standards, methodologies, and best practices that enable Ipsen’s Business Data & AI Strategy. Ensure this technical strategy adheres to Ipsen’s internal policies and external regulatory requirements.
• Be a key contributor of the overall enterprise AI strategy, in collaboration with GDIT and with the business
• Foster deep partnerships with business domainsto understand their needs, explore new opportunities, and deliver data/AI solutions that drive business value.
• Provide technical leadership for advanced analytics and AI initiatives. Oversee the entire development lifecycle of data and AI products, from feasibility to MVP development, scaling, and maintenance, either through direct involvement or by providing supervision and guidance.
• Ensure adherence to best practices in AI and data science, maintaining high-quality delivery, reliability, and performance throughout all stages of the product lifecycle.
• Oversee and ensure the integration of data & AI models into existing systemsand seamless deployment and monitoring of AI models in production environments.
• Conduct comprehensive assessments and evaluations of third-party AI solutions, considering technical performance, regulatory compliance, security standards, and alignment with Ipsen’s strategic objectives. Ensure that selected solutions meet the highest standards of quality, reliability, and ethical practices. Support the adoption across Ipsen of the third-party AI solutions, such as enterprise productivity solutions, to enhance operational efficiency and innovation.
• Develop and implement metrics to monitor the performance and impact of AI and data science initiatives. Regularly report on the progress and outcomes of projects to senior leadership and stakeholders.
• Lead the Data Science & AI Center of Excellence, acculturating the Global Digital, IT teams, and the Business Functions, while fostering and animating the Data Science & AI engineering community across Ipsen.
• Effectively communicate the outcomes of initiatives and complex AI concepts to Ipsen business leaders, as well as other internal and external audiences, in a clear, engaging, and actionable manner. Ensure that these communications drive understanding, foster collaboration, and highlight the strategic value of AI.
• Lead and mentor a team of data scientists, data engineers and AI engineers, fostering a culture of innovation and continuous improvement.
• Drive the adoption of new tools and technologiesto enhance the team’s capabilities.
• Promote a culture of innovationby encouraging the exploration of new technologies and methodologies. Stay updated with the latest advancements in AI and data science technologies and methodologies. Lead research initiatives to explore cutting-edge AI and data science techniques and their potential applications.
• Collaborate with cross-functional teams(business partners, data delivery leads, data managers, platform engineers, etc.) to drive successful implementation of the data & AI products.
• Ensure efficient allocation of the data & AI resourcesinvolved in the initiatives.
• Manage the relationship with vendors and oversee procurement activities to support the strategic goals of the Data Science & AI activities.
• Ensure compliance with relevant regulations (e.g., AI Act) and standards, maintaining the integrity and ethical standards of AI and data science initiatives, in collaboration with the Legal, Data Privacy, Quality & Security teams.

Knowledge, abilities & experience

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Minimum of 10 years of experience in data science, AI, or related fields, with at least 5 years in a leadership role.
• Proven track record of leading and managing data science and AI teams, ideally in the pharmaceutical or healthcare industry.
• Extensive experience in developing and implementing AI and advanced analytics solutions, including internal product development and third-party AI solutions.
• Strong background in regulatory compliance, data privacy, and security standards relevant to the pharmaceutical industry
• Strong leadership, drive, and strategic thinking
• Excellent communication skills
• Strong interpersonal and facilitation skills to drive alignment and engagement with the partners/stakeholders
• Possess the ability to work in a matrix organization
• Foster a culture of innovation
• Possess the ability to develop and coach talents
• Ensure accountability for high-quality delivery
• Possess a business-centric and value-drivenapproach.
• Possess an agile mindsetwith the ability to adapt to changing environments.
• Be a team playerwith a growth mindset.
• Be open-minded and comfortable with change

Key Technical Competencies Required

• Expert in Data Science, Data Engineering and AI, including Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI and LLM (Claude, LLaMa, GPT, etc.)
• Expert in ML/DL development and deployment frameworks (Scikit-learn, PyTorch, MLflow),
• Experienced in Data Analysis (Pandas), Data Transformation (DBT) and Data Management
• Experienced in Cloud Data & AI Services from Azure & AWS (S3, Glue, OpenSearch, Bedrock, Azure OpenAI, etc.) and Cloud Data Platforms (Databricks)
• Experienced in data programming languages (Python, R, SQL)
• Experienced in Agile methodology and software development lifecycle
• Skilled with Collaboration Tools, such as JIRA & Confluence
• Capable in Technical Architecture and Solution Design
• Capable in Change Management
• Capable in UX/UI design

The annual base salary range for this position is $180,000 - $260,000.

This job is eligible to participate in our short-term incentives program.

At Ipsen we are proud to offer a comprehensive employee benefits package, including 401(k) with company contributions, group medical, dental and vision coverage, life and disability insurance, short- and long-term disability insurance, as well as flexible spending accounts. Ipsen also provides parental leave, paid time off, a discretionary winter shutdown, well-being allowance, commuter benefits, and much more.

The pay range displayed above is the range of base pay compensation within which Ipsen expects to pay for this role at the time of this posting. Individual compensation within this range depends on a variety of factors, including, but not limited to, prior education and experience, job‑related knowledge and demonstrated skills

We are committed to creating a workplace where everyone feels heard, valued, and supported; where we embrace “The Real Us”. The value we place on different perspectives and experiences drives our commitment to inclusion and equal opportunities. When we include diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions. Together we strive to better understand the communities we serve. This means we also want to help you perform at your best when applying for a role with us. If you require any adjustments or support during the application process, please let the recruitment team know. This information will be handled with care and will not affect the outcome of your application. Ipsen is an equal opportunity employer that strictly prohibits unlawful discrimination. We recruit, employ, train, compensate, and promote without regard to an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.