Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
Pfaffenhofen an der Ilm, DE, 85276
Live, first seen by us 17 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAnalyze development and manufacturing datasets to surface trends and anomalies
Build digital models and digital twins to simulate and optimize pharmaceutical processes
Design and maintain Python-based data and model pipelines
Lead delivery of scalable digital solutions across labs, plants and supply chain
Mentor junior team members
From the employer’s posting
Analyze and interpret development and manufacturing datasets to identify trends, patterns, and anomalies
Develop and implement digital models and digital twins through mathematical models and generative AI to simulate pharmaceutical (bio-)processes
Design and maintain high-quality Python-based data and model pipelines
lead the delivery of scalable digital solutions across development labs, manufacturing sites, and supply chain organizations
Guide and mentor junior team members
Education & alternatives
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 202617 days ago
- Recorded sightings
- 42
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 17
Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
Daiichi Sankyo Company is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Julia
- Python
- R
- SQL
- AWS
- Azure
- Excel
- GCP
- Power BI
- Snowflake
- Tableau
- scikit-learn
- Streamlit
Where the posting names them
- 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
- 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
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
Your next step
Complete your application on careers.daiichisankyo.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Has Daiichi Sankyo Company posted this job before?
Yes. We’ve followed one other Data Scientist job there since October 2026. It is still up.
About Daiichi Sankyo Company
- People
- About 2,564 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as 4568.T.
- H-1B visas
- 19 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
Source details
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- Pay
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- Location & working pattern
Pfaffenhofen an der Ilm, DE, 85276
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- Work authorization
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