Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design

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 constantly seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Right now, we are seeking highly qualified candidates to fill the position: Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design 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 accelerating the entire drug discovery continuum. You will work with Pfizer's rich balancing 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. What You Will Do 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 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 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 We are looking for individuals with strong technical expertise and curiosity to drive innovation. You may bring experience through different pathways: ‘Breakthroughsthatchangepatients’lives’- Our clear corporate goal is to achieve breakthroughs that change the lives of patients. You are the meaning of our actions. If you want to be part of this vision and share the same passion, Pfizer is the ideal place to start a career or to continue a successful one.

Your Profile Required Qualifications: 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 Preferred Qualifications: 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 search as PyTorch Expertise in modern generative modeling techniques, search as diffusion models, flow-matching approaches, 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 Technologies We Use Slurm-based on-premise computes, Google Cloud Platform, AWS, Docker, Kubernetes, Python (PyTorch, numpy, pandas, scikit-learn, RDKit).

Location: Berlin, Germany 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 affecting, inter alia, gender and age, ethnicity, religion or belief, sexual orientation or disability. Inclusion of people with disabilities Our aim is to enable all employees to complete 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 off your best page with the knowledge and confidence that we will make all reasonable adjustments to support your application and your future career. Your journey with Pfizer starts here! 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 corrected. To learn more about KI's admissible and inadmissible applications in the recruitment process, please read our guidelines for using AI by candidates on Pfizer Careers. Information and Business