Master Thesis

**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)**

**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
- 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

**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:
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.

**DEINE BEWERBUNG**

Dies ist deine Chance, dich mit uns gemeinsam den größten globalen Herausforderungen unserer Zeit zu stellen: die Gesundheit der Menschen zu erhalten, die wachsende Weltbevölkerung zu ernähren und den Klimawandel zu verlangsamen. Du hast eine Stimme, Ideen und Perspektiven, die wir hören möchten. Denn unser Erfolg beginnt mit dir. Sei dabei. Sei Bayer.

Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerber*innen fair zu behandeln und Benachteiligungen zu vermeiden.

**Standort**: Deutschland : Nordrhein-Westfalen : Leverkusen

**Division**: Crop Science

**Referenzcode**:835343