Data Scientist (m/f/x)

Daiichi Sankyo Europe GmbH; Pfaffenhofen an der Ilm; On-site; EUR 70,000 - 110,000; Full time

Job summary

Daiichi Sankyo Europe GmbH in Pfaffenhofen an der Ilm is seeking a Data Scientist (m/f/x) to join the interdisciplinary Technology Intelligence team. You will build scalable Modeling & Simulation solutions using data-driven methods, ML and generative AI, collaborating with scientists, engineers and global partners.

The role emphasizes data-driven insights, digital twins, Python-based pipelines, and delivering scalable digital solutions across development labs and manufacturing sites.

Qualifications

• Master or PhD in Data Science or a quantitative discipline relevant to (bio-)pharmaceutical development.
• Several years of industrial experience in the described areas.

Responsibilities

• Data-Driven Insights: Analyze datasets to identify trends and translate into actionable insights for scientists.
• Modeling & Simulation: Develop and implement digital models and digital twins to simulate pharmaceutical processes and optimize workflows.
• Collaborative Innovation: Communicate with stakeholders to translate requirements into user-friendly, technology-driven solutions with advanced visualizations.
• Data Management: Design and maintain Python-based data and model pipelines with robust data practices.
• Innovate & Scale: Translate operational needs into scalable digital solutions across labs, sites and supply chain.
• Continuous Improvement: Apply state-of-the-art data science methods and drive improvements in M&S capabilities.
• Mentorship: Guide and mentor junior team members and foster learning and collaboration.

Skills

Statistical modeling

Cross-functional collaboration

Communication of complex concepts

Analytical thinking

Problem solving

Education

Master's degree in Data Science

PhD in a quantitative field

Tools

Python

Git

SQL

Azure

Power BI

Tableau

Dash/Streamlit

OpenFOAM

gProms

Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Purpose of the function

Join our interdisciplinary Technology Intelligence team to drive digital transformation across (bio-)pharmaceutical development and manufacturing. We are looking for a passionate

Data Scientist (m/f/x)

who can build scalable, production-grade Modeling, Simulation (M&S) solutions using data-driven methods, machine learning, and generative AI. You will work directly with multi-disciplinary teams including scientists, engineers, and corresponding global partners to solve high-impact challenges that accelerate product development and manufacturing excellence.

Roles and Responsibilities

• Data-Driven Insights: Analyze and interpret development and manufacturing datasets to identify trends, patterns, and anomalies, and translate them into actionable insights for pharmaceutical scientists
• Modeling & Simulation: Develop and implement digital models and digital twins through mathematical models and generative AI to simulate pharmaceutical (bio-)processes, predict outcomes, and optimize workflows across early development, scale-up, and manufacturing.-
• Collaborative Innovation: Communicate effectively with scientific and business stakeholders from diverse backgrounds to translate complex requirements into end-user-tailored, technology-driven solutions with intuitive, advanced visualizations
• Data Management: Design and maintain high-quality Python-based data and model pipelines, ensuring robust data management practices for structured and unstructured data (e.g., Excel, SQL, SAP, process historians, batch records, simulation results)
• Innovate & Scale: Listen to operational needs, translate them into technology-driven opportunities with clear business value, and lead the delivery of scalable digital solutions across development labs, manufacturing sites, and supply chain organizations keeping Daiichi Sankyo at the cutting edge of Industry 4.0
• Continuous Improvement: Continuously learn and apply state-of-the-art technologies and approaches in data science, machine learning, and generative AI. Act as a driver of continuous improvement for M&S capabilities within the function
• Mentorship: Guide and mentor junior team members, fostering a culture of learning, collaboration, and innovation

Personal Skills And Professional Experience

• Modeling and Simulation Expertise: Strong background in statistics and mathematical modeling including Bayesian optimization (BoTorch, Optuna), uncertainty quantification, machine learning (scikit-learn, Pyro, Stan), and scientific computing
• Expert knowledge of Python and Git, with optional familiarity with R or Julia. Experience working with cloud and data platforms (Azure, GCP, AWS, Snowflake), SQL, and developing dashboards or lightweight applications using Power BI, Tableau, Python frameworks (e.g., Dash, Streamlit), or JavaScript
• Proactive problem-solver with strong analytical skills and a passion for science and technology, supported by a track record of working effectively in international and cross-functional global teams
• Fluent in English (German is a plus), with the ability to communicate complex technical concepts to non-experts
• Advanced Methods (Bonus): In-depth experience with physics-based modeling (CFD, molecular modeling/dynamics), mechanistic modeling and/or generative-AI-based solutions
• Experience with tools such as OpenFOAM, gProms, Modelica, GROMACS, AMBER, LBM solvers, Schrödinger, or MoE is highly valued
• Open-minded and communicative team player
• Independent and results-oriented approach to work
• High degree of customer and service orientation
• Master (e.g. chartered) Master’s or PhD in Data Science, (Bio/Chemical) Engineering, Physics, Applied Mathematics, or another quantitative discipline relevant to (bio-)pharmaceutical development
• Several years of experience in an industrial environment in the areas of responsibility described above required

Why work with us?

Working at Daiichi Sankyo is more than just a job – it is your chance to make a difference and change patients’ lives for the better. We can only achieve this ambitious goal together. That is why we foster a culture of mutual respect and continuous learning, with a strong commitment to inclusion and diversity. Here, you will have the opportunity to grow, think boldly, and contribute your ideas. If you have a proactive mindset and passion for addressing the needs of patients, we eagerly await your application.