November 16-18, 2016, in Berlin

Workshop 'Computational Life Sciences @ Bayer'


Do you want to improve life with your research? This is the opportunity to learn about Computational Life Science approaches in Bayer’s agricultural and healthcare R&D and explore job opportunities in Computational Life Sciences departments at Bayer.

Our workshop “Computational Life Sciences @ Bayer” is for doctoral candidates, postdoctoral scientists, and graduates with relevant experience.

The workshop

This workshop, which will again take place in Berlin this year, is an excellent opportunity to discuss Bayer's recent developments and research & development projects, present your own scientific work and explore specific job opportunities in Bayer's R&D organization. 


The enormous breadth of Bayer’s life science activities is reflected in an equally broad spectrum of opportunities for experts in Computational Life Sciences, covering aspects as diverse as:


  • Identification and validation of novel targets and biomarkers for the discovery of drugs and agrochemicals
  • Identification and optimization of novel compounds by means of innovative computational chemistry methods
  • In-depth analysis and elucidation of the mode of action, biological pathways, regulatory and metabolic networks by, e.g. analyzing a diverse range of omics data and technologies
  • Analysis of high-dimensional, complex omics data from clinical, greenhouse and field studies such as next-generation sequencing data, metabolomics, and other high-throughput data
  • Analysis and Modeling & Simulation-based prediction of pharmaco/toxico-kinetic and -dynamic aspects of new compounds
  • High-content image analysis and phenotyping (from cellular level up to full plants)
  • Design, implementation and application of novel bioinformatics and data management tools, custom workflows and pipelines; these are just some examples of the many possibilities
  • Advancing translational data science and data-driven decision making by semantic web technologies, data and text mining methods, and integrative graph modelling
  • Analysis of massive, heterogeneous chemical/biological data sets with machine learning techniques like deep learning


Bayer continiuously has vacancies in various Computational Life Sciences departments and we are interested in highly motivated applicants who share our passion to innovate and believe in the power to bring about change inspired by an innovative environment.


The workshop is a relaxed scientific networking event. It includes a poster session where participants have a chance to present their current scientific research, case studies and group sessions to foster lively discussion about relevant scientific issues. It also includes talks about computational life sciences at Bayer and a tour of Bayer's research site. Alongside the workshop sessions, time is allocated for networking, and there will be opportunities for participants to talk to representatives from different departments at Bayer.

Your profile

You should be experienced, enthusiastic and deeply committed to one or more fields of computational life science: bioinformatics, biometrics, biostatistics, bioanalysis, systems biology or systems pharmacology, pharmacometrics, structural bioinformatics; mathematics, physics, biology, pharmacology, medicine, engineering, chemistry or other related fields with a focus on theory and / or application of computational methods, supported by a sound track record of scientific achievements and an Master / PhD degree.


Alongside your scientific excellence, you should be highly skilled in using high-performance computing environments and comfortable handling large data sets in a high-level programming or scripting language. You should have strong skills in applying standard methods and software packages in computational life sciences, or offer a strong background in the development of computational and mathematical models.


We expect you to have a reasonable working knowledge of molecular biology, physiology, or biomedicine and experience of one or more of the biological areas Bayer is involved in, for example plant sciences, oncology, hematology, cardiovascular disease, microbiology, genomics, pharmacokinetics or pharmacodynamics.


You should enjoy working in interdisciplinary teams and be able to translate your computational findings into biological hypotheses, tangible experiments, and team-based project decisions by communicating your results effectively to colleagues from a range of backgrounds. We assume that you enjoy learning new aspects of science and want to improve the quality of life, in line with our mission: “Bayer: Science For A Better Life”.


Excellent written and spoken English is indispensable because of the global footprint of our research and development functions.


Watch the video of the 2015 workshop in Berlin, Germany to get an impression of what the workshop is like.



Thank you very much for your interest in our Workshop "Computational Life Sciences @ Bayer". Please note that the application process is closed at present.

Please click here if you would like to receive a notification e-mail when the application process reopens.

Job opportunities

Please go to our career page to view current vacancies in our Computational Life Sciences departments.