AI Scientist – AI-Driven Target Identification
Novartis - Cambridge, MA
Hiring: AI Scientist – AI-Driven Target Identification Company: Novartis Location: Cambridge, MA Job Posted Time: 2026-09-16 14:21:01 Employment Type: Hybrid Target Skills & Keywords : AI, Deep Learning, LLM, Machine Learning, PyTorch About the job Required Skills: •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. •Interface directly with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery. •Partner cross-functionally 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. Qualifications: •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. Compensation: •Competitive benefits and rewards package •In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!