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Data Scientist - Pharmaceutical Development and Manufacturing (m/f/d) Job Requisition ID: 840 Posting Start Date: 1/2...

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Selected role

Data Scientist - Pharmaceutical Development and Manufacturing

Daiichi Sankyo Pfaffenhofen an der Ilm, BY, DE

Senior Full-time

Job Title:

Data Scientist - Pharmaceutical Development and Manufacturing (m/f/d)

Job Requisition ID:

840

Posting Start Date:

1/26/26

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

LOCATION: Pfaffenhofen, Germany

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

Why Join Us?

Global Collaboration: Work in an international environment with close ties to laboratories and sites in Japan, Europe and US as well as academic partners worldwide.

Cutting-Edge Tech: Gain access to modern cloud computing, HPC systems, and state-of-the-art modeling platforms.

Growth & Visibility: Opportunities to publish in international journals, contribute to scientific communities, and attend conferences.

Culture: Join a collaborative and supportive team that values mentorship, innovation, knowledge sharing, and flexible hybrid working.

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

Education & Experience

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 years of experience in an industrial environment in the areas of responsibility described above

Skills and additional Requirements

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.

HighTech Stack: 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.

Advanced Methods (desirable): 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

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.

Open-minded and communicative team player

Independent and results-oriented approach to work

High degree of customer and service orientation

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.

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