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 https://www.ipsen.com/ 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.

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 experience 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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