Where do you want to go? What do you want to achieve? How would you like to get involved? The choice is yours and we will support you on your way. At Bayer, multi-talents and specialists, visionaries and passionate people, thinkers and doers come together to feed the world, slow climate change and create healthier, more sustainable lives for all. This is the opportunity to start your career with a global leader committed to #HealthForAll #HungerForNone. Bring your ideas, skills and passion with you. Your career starts here.

Master Thesis - Foundation models in Chemistry (all genders) 

The Applied Mathematics group, Bayer AG, is looking for a master student (all genders) with experience in mathematical modeling, data science, programming and chemistry for our Leverkusen site. After a successful application process, you will become part of a team of mathematicians, scientists and engineers. This position is part of a multinational team with the goal of exploring novel ways of training and using foundation models in chemistry.

YOUR TASKS AND LEARNING AREAS 

• Support data collection, extraction and harmonization of information from various internal and external sources 
• Development of new foundation models in the fields of chemistry and pharmacology
• Building a valuable network of contacts in the research & development community at Bayer 
• Preparation of publications, presentations and documentation of your work

WHO ARE YOU 

• For this position, you have to be enrolled as a master student in computer science, mathematics, a natural science program (chemistry, chemical engineering, physics) or a comparable field
• Experience in data analysis and modeling, hands-on experience with deep learning is an advantage 
• Knowledge of a programming language such as python, hands-on experience with a Deep Learning framework e.g. pytorch, tensorflow, jax
• Some knowledge in chemistry and ideally the application of Deep Learning to chemistry and molecules is an advantage
• You were exposed to git and Linux before 
• Flexibility and ability to work in a structured and independent manner 
• Enjoy analyzing complex interrelationships and challenging questions
• Fluent in English, both written and spoken; German language is a plus

Please apply online by uploading the following documents in one bundled file:

motivation letter, CV, relevant certificates, certificate of enrollment, examination/study regulations. We look forward to receiving your application!

WHY BAYER?

What counts for you, also counts for us! We believe in individual definitions of career, success, and work-life balance. You can expect a working environment in which you are welcomed, supported, and encouraged to bring your whole self to work. In addition to your work in dynamic and diverse teams, you can expect numerous benefits during your internship, such as:

• A job ticket that allows you to flexibly and sustainably design your commute to work
• The Corporate Benefits program, which entitles you as a Bayer employee to discounts from more than 150 brands
• Professional development learning opportunities such as LinkedIn Learning and Education First

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here:
Our Mission & Strategy: 
Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer.

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location:           ​​ ​   Germany : North Rhine Westfalia : Leverkusen​

​​Division: ​               Crop Science​

Reference Code:  835343​