Sr. Scientist to Associate Director, Chemiformatics

About the position

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value. The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules. Incyte is seeking a knowledgeable and self-motivated Cheminformatics Scientist with a strong track record in applying AI/ML techniques to molecular design. The successful candidate will join our Computational Chemistry group within the Discovery Chemistry organization. This role provides a unique opportunity to innovate and advance AI/ML technologies at the forefront of computer-aided drug design. The ideal candidate will have extensive experience in computational methods, with a particular focus on cutting-edge machine learning approaches applied to chemical and biological data.

Responsibilities

• Develop, optimize, validate, and deploy innovative ML methods for generative molecular design
• Develop cheminformatics approaches to help lead optimization and hit identification workflows
• Maintain internal ML models for QSAR predictions
• Work collaboratively with colleagues to develop and deploy solutions to accelerate drug discovery

Requirements

• BS, MS, or PhD in Chemistry/Computer Science/Machine Learning/Cheminformatics/Chemical Engineering or related education with typically 10+ years (BS), 8+ years (MS), or 0-3+ years (PhD)
• Experience developing machine learning models related to chemical and biological data
• Proven expertise in AI/ML-enabled molecular generation and QSAR predictions
• Strong publication record in cheminformatics
• Familiarity with modern deep learning architectures including GNN, CNN, RNN, Transformers, GCNN and MPNN
• Hands-on experience with deep learning platforms such as Pytorch, TensorFlow, or Keras
• Proficient in Python programming, with experience in data science stack (Numpy, Pandas, Scikit-learn, and other related scientific libraries)
• Ability to implement, debug, and maintain computational tools in common programming languages (Python)
• Proficiency with cloud computing capabilities are preferred
• Result oriented personality with excellent analytical skills, capable of independently developing solutions
• Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to non-specialists
• Excellent verbal and written communication skills