Intern, AI/ML Drug Discovery at BioCryst… · Birmingham

Summary: BioCryst Pharmaceuticals, Inc. is dedicated to improving the lives of people with rare diseases through innovative drug design. The intern will gain hands-on experience in drug discovery, focusing on machine learning and AI tools to support antibody lead candidate optimization and related projects. Responsibilities: - Develop algorithms/models focused on machine learning and AI tools for drug discovery – antibody lead candidate optimization - Design and evaluate machine learning models to predict antibody-antigen binding - Assess emerging AI/ML drug discovery methods/tools in the public domain and provide recommendations on paths to replicating the promising methods/trends in BioCryst - Assist antibody engineering using existing biological data based on the antibody-antigen computational model - Stay up to date with the latest computational models and AI techniques in Drug Discovery and report - Other projects, as assigned Required Qualifications: - Working towards a PhD in biomedical engineering, computer science, data science, computational biology, or related discipline with a minimum 3.0 GPA - Experience in dealing with large data sets, strong interest in application of artificial intelligence, machine learning, with a strong research interest in drug design - Experience in structural prediction, molecular modelling, and antibody-antigen interaction analysis - Knowledge of AI/ML applications in structural biology, antibody discovery and protein design - Coursework, practicum work in computational biology, computer science, pharmacology, deep learning, biochemistry, protein science and structural biology - Proficient in Python, Arduino (C++), Java, SQL, R, MATLAB, Microsoft office suite - Team player who is willing to flex outside the prescribed role - Exceptional written and verbal communicator, strong interpersonal skills - Self-directed, creative, and ability to be flexible and adjust quickly as priorities change Required Skills: Machine Learning, AI Tools, Drug Design Important Skills: Computational Biology, Python, Data Analysis, Structural Biology Nice-to-Have Skills: Self-directed, Team Player, Communication Skills