↳Advanced degree in a relevant scientific or quantitative field such as cheminformatics, bioinformatics, biomedical engineering, computational biology, computational chemistry, data science, AI/ML in life sciences, or a related discipline.
↳PhD with 5+ years or MSc with 8+ years of relevant work experience applying data science in drug discovery, translational research, or related scientific environments.
↳Strong expertise in machine learning, statistics, and reproducible data science workflows, with demonstrated ability to apply them to real scientific problems.
↳Proficiency in Python and/or R, with solid software development practices including version control, testing, documentation, and production-quality coding standards.
↳Experience designing, developing, and deploying robust analytical applications, computational workflows, or machine learning systems in collaborative environments.
↳Demonstrated ability to work across multidisciplinary teams and translate complex analytical concepts into clear, actionable insights for scientists and stakeholders.
↳Strong communication, collaboration, and leadership capabilities, with the ability to influence decisions in cross-functional settings.
↳Good understanding of drug discovery processes, with particular relevance to ADME, pharmacokinetics, pharmacodynamics, or related translational data domains.
