Machine Learning Scientist Bio Modelling (all genders)

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Within Bayer, 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 https://www.bayer.com/en/strategy/strategy

Machine Learning Scientist Bio Modelling (all genders)

Develop innovative machine learning solutions to analyze biomedical datasets of different modalities with the goal of designing optimized molecules and improving our understanding of targets, diseases and patients.

Your Tasks And Responsibilities

• Be an active member of a highly interdisciplinary and cross-organizational team
• You will develop and evaluate state-of-the-art machine learning algorithms applied to modelling protein-ligand and protein-protein complexes
• You will collaborate with cross-functional teams throughout R&D to ensure innovative algorithmic solutions are operationalized and integrated into our discovery pipelines
• You will keep up to date with the latest advances in machine learning technologies
• You will engage with the broader scientific community through publications, open-source projects, and conference presentations
  
  

Who You Are

We are excited about your talent and passion for this position. Attracting the right talent is important to us. We would be happy to work with you to identify and create the career and development opportunities you are looking for. And if you don't meet all the requirements, we still look forward to receiving your application. We are all constantly learning!

Required:

• You have a highly scientific or engineering background, with a PhD degree or equivalent
• You have expertise in machine learning research
• You have a sincere interest for drug discovery and the life sciences
• You have excellent written and verbal communication skills in English
  
  

Preferred:

• You have expertise in bioinformatics or structural biology
• You are an expert in applying machine learning for characterizing and designing small molecules, DNA/RNA, or proteins
• You have expertise in applying, dissecting, and improving upon state-of-the-art machine learning methods. Knowledge of modern generative modelling methods (e.g.,diffusion), protein language models (e.g., ESM), modern structure prediction methods (e.g., AlphaFold), or experience efficiently training and fine-tuning large models are a big plus
• You have excellent software engineering skills
• You have a strong publication record or demonstrated contributions (e.g., open source) for the above
  
  

What We Offer

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award or top performance award.
• Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
• Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
• We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machtfit.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
  
  

The position is limited to two years.

Our target date to fill the position is 01.01.2025 (negotiable).

Be You. Be Bayer.

YOUR APPLICATION

Do you want to work in a place where you can be just YOU?

Your unique personality, background and talents help build a strong, diverse and inclusive Bayer.

So join us! Be You, Be Bayer.

Location: Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Monheim

Division: Pharmaceuticals

Referenc Code: 822732