Data Scientist

Title:
Data Scientist

Company:
Ipsen Pharma (SAS)

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 and follow our latest news on LinkedIn and Instagram .

Job Description:

Ipsen is a dynamic and growing global specialty-driven biopharmaceutical company focused on innovation and specialty care.

We aim to make a sustainable difference by significantly improving patients' health and quality of life and providing them with effective therapeutic solutions for unmet medical needs through differentiated and innovative medicines in Oncology, Neurosciences and Rare Diseases.

The patient is at the heart of everything we do, and we also care for our employees because they are the ambassadors who truly make the difference. We attract and develop bold, agile, entrepreneurial individuals who take full ownership of their decisions; leaders drawn by a purpose to make a direct impact through their work in people's lives.

We offer employees a wealth of fulfilling challenges & growth opportunities, and the chance to contribute within a fast-moving organisation, an organisation that is genuinely game-changing.

The Data Scientist will design and implement advanced data science and AI solutions to address scientific and operational challenges within R&D and Medical functions.

This includes developing patient analytics capabilities, applying machine learning and statistical modeling, and integrating cutting-edge technologies such as NLP, large language models (LLMs), and generative AI into core processes.

The role involves close collaboration with cross-functional teams to enhance evidence generation strategies, optimize decision-making, and support therapeutic area initiatives in Oncology, Rare Diseases, and Neuroscience. A strong understanding of healthcare data ecosystems and the ability to translate complex data into actionable insights are essential.

This position contributes to the enterprise-wide digital transformation by building scalable, high-impact analytical tools and fostering innovation across the portfolio.

Main Responsibilities:

Data Science & Analytic Capabilities Building:

• Develop analytic and data science solutions that support a broad range of strategic and operational needs across R&D and Medical
• Apply and test various data science approaches that improve operational efficiencies and accelerate and scale evidence generation capabilities, while ensuring scientific robustness.

Evidence Generation:

• Develop data engineering pipelines that supports analytics and visualization needs for variety of data sources containing patient-level data, such as healthcare claims, EMRs, PROs, omics, etc.
• Conduct analyses of various patient data sets that supports internal decision-making and evidence generation.

Stakeholder Engagement:

• Support the development of analytic and data science solutions (e.g., ML, NLP, data visualization) by working with internal teams and leveraging diverse data sources (e.g., EMR/EHR, claims, PROs, scientific literature).
• Work closely with cross-functional teams within R&D and Medical Affairs to gather requirements and contribute to the design and implementation of data-driven solutions.

Continuous Learning and Innovation:

• Stay abreast of advancements in data science, machine learning, and healthcare technologies;
• Educate and raise awareness around Data Science and its potential in supporting Ipsen's internal teams to generate buy-in across the organization;

In order to be considered for this role you must have:

• Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, or a related field.
• 3 to 5 years experie nce in analytic/data science roles within pharmaceutical industry.
• Strong methodological and analytical skills with regard to machine learning, deep learning, NLP and other AI approaches.
• Proven experience applying these approaches in healthcare space.
• Solid understanding of statistical analysis and hypothesis testing
• Proficient in programming languages such as Python and/or R, with a focus on healthcare data science
• Proven experience working with patient-level Real World Data, medical data and a strong understanding of healthcare systems.
• Strong communication skills and the ability to convey complex technical concepts to diverse audiences
• English fluency.

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Nous nous engageons à créer un lieu de travail où chacun se sent écouté, valorisé et soutenu, où nous incarnons « The Real Us*». La valeur que nous accordons aux différentes perspectives et expériences motive notre engagement en faveur de l'inclusion et de l'égalité des chances. Lorsque nous intégrons des modes de pensée diversifiés, nous prenons des décisions plus réfléchies et découvrons des solutions plus innovantes. Ensemble, nous nous efforçons de mieux comprendre les communautés que nous servons. Cela signifie que nous voulons également vous aider à donner le meilleur de vous-même lorsque vous postulez à un poste chez nous. Si vous avez besoin d'aménagements ou d'aide pendant le processus de candidature, veuillez en informer l'équipe de recrutement. Ces informations seront traitées avec soin et n'auront aucune incidence sur le résultat de votre candidature. *Soyons nous-même