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AI Scientist – AI-Driven Target Identification(m/w/x)
Developing AI models for drug target identification and biomolecular interaction modeling. Ph.D. in ML, CS, or related field with generative AI or foundation model experience required. Flexible working options, global recognition programs.
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Anforderungen
- Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field
- Strong experience in generative AI, biomedical foundation models, geometric deep learning, multi-modal learning, or large-scale knowledge graphs
- Excellent programming skills and proficiency in deep learning frameworks
- Openness to learning new tools and technologies
- Practical experience across ML and LLM software stack
- Experience in feature engineering, model development, deployment, and validation
- Prior experience with omics data
- Familiarity with oncology drug development
- Excellent communication skills
- Ability to communicate complex data insights and recommendations to cross-functional teams
- Demonstrated strong research skills
- Publications in top-tier ML/AI conferences or leading scientific journals
- Biostatistics
- Curious mindset
- Data governance
- Data literacy
- Data quality
- Data science
- Data visualization
- Graph algorithms
- Learning agility
- Machine learning (ML)
- Machine learning algorithms
- Python (Programming Language)
- Statistical analysis
- Time series analysis
Aufgaben
- Design, develop, implement, and apply advanced ML algorithms, AI models, and platforms
- Deliver predictive insights from pre-clinical, clinical, and real-world evidence datasets
- Demonstrate value of innovative AI techniques in drug target identification
- Demonstrate value of innovative AI techniques in biomolecular interaction modeling
- Demonstrate value of innovative AI techniques in drug development
- Demonstrate value of innovative AI techniques in biomarker discovery
- Work with foundational models to advance generative AI applications in drug discovery
- Collaborate with cross-functional teams to develop and adopt best practices for ML-ready data
- Contribute to scientific publications
- Present results at internal and external scientific conferences
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Insurance plans
- Global recognition programs
- Retirement plans
- Wellbeing resources
- Flexible working options
- Hybrid working options
- 14 weeks paid parental leave
- Performance-based bonus
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Novartis Pharma AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Novartis Pharma AGÜber das Unternehmen
The company is committed to integrating AI-powered tools into drug discovery to enhance data-driven solutions.
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