Data Science for A Better Life
Where great minds can make a difference
At Bayer, it is our passion and mission to advance life and find solutions to our clients’ and customers’ biggest challenges. Data connects the world we live in and its people, which makes it key to innovative solutions. Are you ready to step up, face the challenges of today’s world and use your skills to help create leading solutions in health and nutrition? Then join Data Science at Bayer today!
At Bayer, generating and analyzing data, then turning it into insights is more than daily business – it can change the lives of individuals. We aim to develop new solutions for pharmaceuticals, consumer health and crop science. Find out more about the crucial role data plays for our business and how we apply data science today!
As a data scientist in Life Sciences, you will always be part of interdisciplinary – and in most cases global – teams solving use case-driven challenges using real world data. Whether it’s analyzing patient journeys or the development of seeds under special circumstances, our world – your world – deals with big data, advanced analytics, data curation and linkage, knowledge engineering, etc. to develop new business models for a better life.
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What is Data Science at Bayer?
Explore the interactive graphic to learn what you can do in Data Science at Bayer.
Statistics & Applied Mathematics
Ensure the use of appropriate and efficient methods of statistical analysis to support the development and submission of Bayer products.
Data Science
Lead and drive scientific discoveries & innovation by analyzing big or complex data via best-in-class and novel ways to strongly impact the R&D pipeline.
Data Stewardship
Set, drive & implement governance processes and policies within a given data domain.
Data Engineering
Develop and maintain ETLs of raw data into analytics environments to support digital work including, but not limited to, data discovery, data model development, platform engineering, and other uses.
Data Architecture
Create logical and physical data models and design data structure, storage, and integration.
Data Analytics
Leverage domain expertise to work closely with data scientists and statisticians to interpret their work and make recommendations to stakeholders.
As a postdoc in Life Sciences at Bayer, you’ll work in high-risk cutting-edge technologies/projects.
Join us as a junior with 0-2 years’ work experience after your master’s or PhD and contribute to diverse data science projects (Python, R programmer, visualizations, ML/AI, statistics).
Take over project leads (agile project management) as a senior with 2-5 years’ work experience.
Start e.g. as a data strategist with 5+ years’ work experience and lead larger initiatives in the Data Science field at principal level.
Bayer is an employer that goes beyond the hype. We have a tremendous amount of data, from diverse experiments to real-world evidence. This translates into fantastic opportunities for data science to influence decision-making across the value chain, from bench to bedside and from lab to field. Projects include analyses of biomedical and field data to find new solutions for patients and farmers, financial analysis to detect outliers, optimization of product supply, and evaluating satellite images for digital farming among many others. After all, we need an extremely diverse range of solutions tailored to individual needs in healthcare and agriculture. Data science is increasingly becoming an integral part of our solutions. Bayer is truly a one-of-a-kind environment to work on very diverse projects in data science for a better life.
Impactful & socially responsible challenges
Unique data assets
Empathic leadership & low hierarchy
Collaborations with companies & universities
Lifestyle & purpose driven benefits
Networking & development opportunities
Skilled data scientists, analysts, engineers and architects are key to unlocking the endless possibilities of big data and among the key drivers for delivering world-class innovation, operational excellence and new business models that have the potential to transform entire industries.
Your colleagues will be multidisciplinary – chemists, biologists, marketers, etc. Some of them will be skilled in data science, while others have a strong domain knowledge in chemistry or biology, rounding off the team’s skillset. Diversity, collaboration and customer focus are the pillars of the way we work and help us to build solutions with real impact.
In Data Science at Bayer you will...
- see first-hand the problems farmers or patients have to face and how you can make a difference.
- transform data into valuable information and improve the life of our planet’s growing and aging population.
- tackle impactful data challenges with cutting-edge technologies.
- collaborate closely with interdisciplinary functions throughout our global teams.
- be able to bring your unique personality to work and complete a team of like-minded people.
"Data Science is teamwork by definition and one of the key pillars to digitally empowering Bayer. We are empowered by the freedom to use cloud solutions and state-of-the art software such as DominoDataLab."
David Ruau | Global Head of Data Science Bayer
"Bayer encourages people from different backgrounds and disciplines to solve the most relevant challenges in agriculture and pharma. I don’t know of any other company with a comparable capacity and opportunity to leverage data science for a better life."
Arwa Al-Dilaimi | Computational Scientist, Bayer Crop Science
"I think the good thing about being a data scientist in healthcare is that, maybe not in a dramatic way, but in a small way you can feel like you are doing the right thing."
Angeli Möller | Head of IT Business Partnering Research für Bayer Pharmaceuticals
“Data science at Bayer is the application of proven and emerging data science techniques to novel problems, specific to plant breeding. This intellectually challenging and exciting!“
Paul Nelson | Head of Data Science Genomic Prediction
„The Data Science Team is young, international and multidisciplinary. It's great that we have so many different backgrounds and different data science specializations. As a team, we deal with a variety of data science areas. This makes my workplace, where we learn a lot from each other, particularly lively.“
Itziar Goikoetxea | Data Scientist Bayer Pharmaceuticals
"We take the wisdom from centuries of plant breeding and combine it with modern forms of technological intelligence. Advanced math and data science have already demonstrated their value to agriculture, and the world is seeing the results. Isn’t it nice for math to decrease anxiety for a change?"
Phani Chavali | Data Science Lead, Plant Breeding, Bayer Crop Science
„What is special about Bayer for me is the holistic approach. Because crop protection cannot do without a comprehensive analysis - neither in development nor in the field. Data only becomes valuable if it can be meaningfully linked to one another and different results in the field can also be implemented in actions.“
Walter Mayer | Application Technology