Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop state-of-the-art machine learning models for molecular design, apply generative AI approaches, and translate research into practical applications for drug discovery.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Advanced degree or equivalent experience in Computer Science, Machine Learning, Mathematics, Computational Biology, or a related field.
Qualifications
- Strong programming skills (e.g., Python).
- Strong publication record in machine learning or computational science (e.g., NeurIPS, ICML, ICLR or comparable venues).
- Expertise in modern generative modeling techniques, such as diffusion models, flow-matching approaches, reinforcement learning and/or self-supervised learning methods (e.g., JEPA).
- Familiarity with cheminformatics tools (e.g., RDKit).
- Proven ability to translate research ideas into applied solutions in a scientific or industrial setting.
Experience
- Proven experience in developing machine learning models and algorithms.
- Experience working with scientific or complex structured datasets.
- Hands-on experience implementing deep learning models using frameworks such as PyTorch.
- 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).
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What we offer
- Pfizer guarantees equal opportunities throughout the application process and compliance with local laws in the respective countries where Pfizer operates.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Pfizer
Der Pfizer-Standort in Freiburg ist einer der wichtigsten Produktionsstätten des internationalen Unternehmensnetzwerkes, das aus über 58 weltweiten Standorten besteht. Hier werden durch Einsatz modernster Technologien in kurzen Durchlaufzeiten und auf hoher Komplexitätsstufe über 3.500 SKUs (stock keeping units) produziert.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Machine Learning Research Scientist - Generative AI for Drug Design
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
