Cheminformatics Intern (Unpaid)

**Company Description** Living In Silico, founded in 2018, focuses on solving biomedical and educational challenges through innovative and disruptive technologies. The organization brings together dedicated researchers who develop new biotechnologies to advance digital health. Its work aims to create greater efficiencies for patients, researchers, physicians, and other health care providers. Living In Silico offers a collaborative environment where emerging talent can contribute to impactful projects in computational biology and health technology. **Role Description** The Cheminformatics Intern (Unpaid) will support research and development activities by applying computational methods to analyze chemical and biological data. Day-to-day tasks may include curating and preprocessing datasets, assisting with molecular modeling and simulations, and helping evaluate compound libraries using cheminformatics tools. The intern will collaborate with researchers to document findings, prepare reports or visualizations, and contribute to internal presentations and knowledge-sharing. This is a remote role based in Mississauga, ON, with the flexibility to perform responsibilities from home. The position is well-suited for individuals seeking hands-on experience in digital health, biomedical research, and computational chemistry. **Qualifications** * Strong foundation in chemistry, biochemistry, or a related field, with interest in computational methods and digital health. * Familiarity with basic data analysis concepts and tools (e.g., spreadsheets, scripting languages such as Python or R) and willingness to learn cheminformatics software. * Ability to read and interpret scientific literature, summarize key findings, and support research documentation. * Attention to detail, strong organizational skills, and the ability to manage multiple tasks in a research environment. * Effective written and verbal communication skills and comfort working in a multidisciplinary team. * Currently enrolled in or recently completed a relevant undergraduate or graduate program (e.g., chemistry, bioinformatics, computer science, biomedical engineering). * Interest in emerging biotechnologies and enthusiasm for contributing to innovative solutions in digital health.