At a Glance
- Tasks: Design and develop AI/ML approaches for drug discovery and biomarker identification.
- Company: Join Novartis, a leader in innovative medicine and collaborative research.
- Benefits: Competitive salary, flexible working options, and comprehensive health benefits.
- Other info: Dynamic team environment with opportunities for professional growth and recognition.
- Why this job: Make a real impact in healthcare by advancing AI-driven drug discovery.
- Qualifications: Ph.D. in relevant fields and strong programming skills in AI/ML.
The predicted salary is between 60000 - 192400 £ per year.
The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation team. This role will apply advanced AI approaches to generate insights from complex multi-modal datasets and advance our target and biomarker discovery efforts.
Key responsibilities:
- Design, develop, and apply advanced AI/ML approaches to extract actionable insights from pre-clinical, clinical and real-world evidence datasets.
- Demonstrate value of innovative AI techniques in the context of drug target identification, biomolecular interaction modeling, drug development and biomarker discovery.
- Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal 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 and present results at internal and external scientific conferences.
Requirements:
- Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field.
- Strong experience in one or more of the following areas: generative AI, biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.
- Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
- Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.
- Prior experience working with omics data and familiarity with oncology drug development.
- Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.
- Demonstrated strong research skills, evidenced by publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals.
Rewards:
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.
Salary Range: $103,600.00 - $192,400.00
Skills Desired: 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.
AI Scientist – AI-Driven Target Identification in Cambridge employer: Novartis
At Novartis, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while providing ample opportunities for professional growth and development in the pharmaceutical industry. With a commitment to enhancing customer experiences for healthcare professionals and patients alike, joining our team means contributing to meaningful work that makes a difference in people's lives.
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We think you need these skills to ace AI Scientist – AI-Driven Target Identification in Cambridge
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