Computational Scientist

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.

Computational Scientist (all genders) - Advanced Cheminformatics

At Bayer Pharmaceuticals, we are committed to addressing some of the most pressing healthcare challenges of our time. By harnessing cutting-edge technologies, we accelerate the discovery of new medicines. We are currently seeking a passionate, creative, and collaborative Computational Scientist (m/f/d) specializing in Advanced Cheminformatics to join our Scientific Insight Solutions team.

Our dynamic, diverse, and multidisciplinary team utilizes a wide array of data science technologies to extract actionable insights from multimodal scientific data. Together, we aim to contribute to the development of innovative new medicines that will make a meaningful difference for patients worldwide.

YOUR TASKS AND RESPONSIBILITIES

• You develop, evaluate, and implement multi-task machine learning models to predict various physicochemical properties of small molecules
• You design and conduct experiments to identify the optimal combination of model configurations, data selection strategies, and input parameter integration – aiming to find the most effective approach for predicting physicochemical endpoints in early drug discovery
• You collaborate closely with experimental scientists to understand the data context and assay parameters. You prepare the data accordingly and coordinate intensively with data scientists across different R&D functions
• You communicate your results and insights clearly and effectively – to both technical and non-technical stakeholders
• You document methods, results, and conclusions in a clear and structured way for internal and external audiences
• Cross-functional collaboration with colleagues from Pharma and CropScience
• Scientific exchange through publications, open-source projects, and conference presentations

WHO YOU ARE

• You hold a PhD in (Bio-)Chemistry, Pharmaceutical Sciences, Chemoinformatics, or a related discipline at the intersection of medicinal/pharmaceutical chemistry and statistics/informatics
• You have deep expertise in modern machine learning methods – ideally including multi-task deep learning
• You have several years of professional experience in developing and validating ML methods for predicting physicochemical, biochemical, or chemical properties (industrial experience preferred)
• You possess solid knowledge in physicochemistry, organic chemistry, and analytical chemistry
• You are proficient in programming languages such as Python or R and familiar with relevant ML and cheminformatics libraries (e.g., TensorFlow, PyTorch, scikit-learn, RDKit)
• You are a strong team player with analytical thinking, a collaborative mindset, willingness to take risks, determination, and the ability to present complex scientific ideas convincingly
• You have experience in data manipulation and visualization
• Your fluent English skills (spoken and written) and strong communication abilities round off your profile

ADDITIONAL INFORMATION

This position is to be filled for a limited period of 12 months either in Berlin or Wuppertal.

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.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Be You. Be 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 : Berlin : Berlin || Germany : North Rhine Westfalia : Wuppertal-Aprath

Division: Pharmaceuticals

Reference Code: 854697