Director, Applied AI/ML and Statistics, Research

Does it excite you to apply machine learning across genomics, chemistry and imaging to shape how new medicines are discovered? And do you have experience evaluating, fine-tuning and deploying models that scientists actually use? If this sounds like you, and you are ready to take on a broad area of responsibilities, then you could be our new colleague. Your new position As Director, Applied AI/ML and Statistics, Research, you will be Zealand Pharma’s expert in applying machine learning and statistical methods across biological, chemical and imaging data. You will decide which models and statistical methods are fit for which questions, adapt them to our data, and make them reliable and reusable across Research. You will lead translational data science projects that connect patient-derived multi-modal data with research and translational questions. You will also contribute to scientific and technology projects across our obesity and metabolic health pipeline. We Offer Exciting Responsibilities Evaluate, benchmark, train and apply machine learning models across genomics, chemistry and histopathology data, fine-tuning foundation and task-specific models on internal data where this adds value Build and maintain a model catalog for Research that records available models, what each is validated for, its performance on internal benchmarks and how to access it Act as statistical subject matter expert for non-clinical experiments, advising on study design, power and analysis, and setting standards for how results are reported and interpreted Work with data science and IT teams to deploy, version and monitor models, establishing machine learning operations practices that make results reproducible and reusable Lead translational bioinformatics projects with Translational Medicine, Modeling