Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du moderne Machine-Learning-Modelle für die molekulare Gestaltung, setzt generative KI-Ansätze ein und übersetzt Forschungsergebnisse in praktische Anwendungen zur Arzneimittelentdeckung.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Advanced degree or equivalent experience in Computer Science, Machine Learning, Mathematics, Computational Biology, or a related field.
Qualifikationen
- 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.
Erfahrung
- 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).
Unser Angebot
- Pfizer guarantees equal opportunities throughout the application process and compliance with local laws in the respective countries where Pfizer operates.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
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
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Pharma, Chemie, Biotech
Senior Machine Learning Research Scientist - Generative AI for Drug Design
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
