Machine Learning Scientist (all genders)

Bayer (Schweiz) AG; Berlin; Vor Ort; EUR 104.300 - 126.500; Vollzeit

Benefits dieser Stelle

Competitive salary

Flexible work models

Professional development opportunities

Health checks

Zusammenfassung

Bayer (Schweiz) AG is looking for a Machine Learning Scientist in Berlin, Germany. You will lead the development of machine learning algorithms and workflows to accelerate drug discovery. The ideal candidate holds a PhD with expertise in ML methods, programming in Python, and bioinformatics tools.

We offer a flexible benefits package with a competitive salary between 104,300€ and 126,500€ annually, professional growth opportunities, and a commitment to diversity and inclusion.

Qualifikationen

• PhD degree in computational chemistry/biology, chem/bioinformatics, or related field.
• Multiple years of relevant post-PhD industry experience.
• Expertise in state-of-the-art machine learning methods.

Aufgaben

• Lead development and application of machine learning algorithms.
• Identify opportunities for accelerating drug discovery projects.
• Engage with stakeholders on technology and progress.

Kenntnisse

Machine learning methods

Python programming

Data analysis

Bioinformatics tools

Ausbildung

PhD in computational chemistry/biology or related field

Tools

Pytorch

Pandas

Scikit-learn

Jobbeschreibung

# Machine Learning Scientist (all genders)Berlin, Berlin, GermanyID: 865474---## Job Description**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.****Machine Learning Scientist (all genders)** **YOUR TASKS AND RESPONSIBILITIES*** You lead the development, evaluation, and application of machine learning algorithms and workflows for the characterization and design of biomolecules to accelerate drug discovery* You identify opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities* You communicate, educate, and engage with a broad set of stakeholders (chemists, biologists, computational/data scientists, R&D leadership, consortia partners, and the broader scientific community) on the state of technology and the progress of key internal initiatives* You keep up to date with the latest advances in computational modeling of biomolecular structure, physics, interactions, and function**WHO YOU ARE*** You hold a PhD degree in computational chemistry/biology, chem/bioinformatics, chemical/biological/molecular engineering, or a related field at the intersection of life sciences and computer sciences* You have multiple years of relevant post-PhD experience, including professional experience in industry* You have expertise with state-of-the-art machine learning methods to model biomolecules, for example sequence-to-function models, protein language models, co-folding, inverse folding or steerable generative methods* You have experience with ML-based workflows towards characterization of biomolecular interactions, assessment of druggability, candidate screening, or design and optimization of therapeutics and delivery systems.* You are experienced in handling, processing, integrating and analyzing large datasets related to drug development research, including sequence, omics, biochemical, biophysical, and structural biology data* Expertise in modern bioinformatics tools (e.g., mmseqs, foldseek) is part of your profile* You have strong Python programming skills including the scientific stack (e.g. pytorch, pandas, scikit-learn), and experience in collaborative software engineering according to good practices* You have a strong commitment to scientific rigor, a proven track record of scientific achievement, excellent analytical thinking skills, and a high level of self-motivation* Excellent written and verbal communication skill in English round off your profile**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** with a competitive salary between 104.300€ and 126.500€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.* 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.**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:** Berlin**Division:** Pharmaceuticals**Reference Code:**865474