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About the Role

Join our pioneering team at the forefront of AI-driven drug discovery. As authors of the FLOWR and PILOT frameworks, we are expanding our group of machine learning research scientists to further advance the development and application of state-of-the-art generative models for both structure- and ligand-based drug design. In this role, you will design, implement, and validate novel machine learning tools that generate testable hypotheses and help accelerate the entire drug discovery continuum. You will work with Pfizer’s rich proprietary data, large-scale external datasets, and ultra-large data from strategic collaborations to push the boundaries of our machine learning capabilities. This is a unique opportunity to contribute to cutting-edge research while translating innovation into real-world impact for patients.

Responsibilities

Design, develop, and validate state-of-the-art machine learning models, with a focus on generative AI and self-supervised learning
Apply modern generative frameworks (e.g., diffusion or flow-based approaches) to molecular design challenges
Develop predictive models combining structural and biochemical data (e.g., binding affinity prediction)
Explore and implement novel representation learning approaches using large-scale, unlabeled datasets
Translate emerging research in machine learning into impactful applications in drug discovery
Collaborate with cross-functional experts in computational biology, chemistry, and medicine design
Contribute to publications, conferences, and external scientific engagement

Requirements

Advanced degree or equivalent experience in Computer Science, Machine Learning, Mathematics, Computational Biology, or a related field
Proven experience in developing machine learning models and algorithms
Strong programming skills (e.g., Python)
Experience working with scientific or complex structured datasets
Strong publication record in machine learning or computational science (e.g., NeurIPS, ICML, ICLR or comparable venues)
Hands-on experience implementing deep learning models using frameworks such as PyTorch
Expertise in modern generative modeling techniques, such as diffusion models, flow-matching approaches, reinforcement learning and/or self-supervised learning methods (e.g., JEPA)
Experience working with scientific data types relevant to drug discovery (e.g., molecular structures, protein data, or large-scale biological datasets)
Experience with high-performance computing environments (e.g., SLURM) and/or cloud platforms (e.g., AWS, Google Cloud)
Familiarity with cheminformatics tools (e.g., RDKit)
Proven ability to translate research ideas into applied solutions in a scientific or industrial setting

Skills

Python
PyTorch
numpy
pandas
scikit-learn
RDKit
Generative AI
Self-supervised learning
Diffusion models
Flow-based approaches
Deep learning
Representation learning
High-performance computing
Cloud platforms
Cheminformatics

Location

Berlin, Germany

Work Type

Full-time

Experience Level

Senior

Education Level

Advanced degree or equivalent experience

About the Company

A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.
Breakthroughs that change patients’ lives - Our clear company goal is to achieve breakthroughs that change patients’ lives. You are the meaning of our work. If you want to be part of this vision and share the same passion, Pfizer is the ideal place to start or continue a career.
Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.

Equal Opportunity

Pfizer guarantees equal opportunities throughout the entire application process and compliance with local legislation in the respective countries where Pfizer operates.
Pfizer excludes any discriminatory factors, including gender and age, ethnic origin, religion or belief, sexual orientation, or disability.
Our aim is to enable all employees to fully contribute and develop their skills and knowledge. We are proud to be an inclusive employer by offering equal opportunities to all applicants.
We encourage you to show your best self, knowing that we will make all reasonable adjustments to support your application and future career.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.