Engineering · Full-time · Utrecht, Netherlands · Remote possible
Xilis, Inc. is an innovation-driven biotech company developing its proprietary MicroOrganoSphere (“MOS”) Technology for functional precision oncology. Xilis’ MOS Technology enables rapid and scalable generation of patient tumor models that retain patient-specific tumor biology and tumor microenvironment, representing one of the most translationally-relevant ex vivo technologies for precision oncology drug discovery and development. Located in Research Triangle Park, Durham, NC, Xilis is building a functional precision medicine platform that incorporates scaled multi-modal profiling of therapeutic activity and AI/ML-enabled analytics to catalyze functional precision medicine drug discovery, development and diagnostics. Collectively, Xilis aims to harness its MOS Platform to enable development of the most effective therapeutics and guide them to the right patients at the right time.
Role The Data Science team drives all statistical, machine learning and data visualization approaches across Xilis (both in the Netherlands and the USA). In this role, you will help lead the data analysis in support of novel biopharma and clinical assays at the forefront of cancer therapeutics. You will help define, build, and scale up Xilis’ patient-derived 3D model platform toward drug development and immuno-oncology applications. This role will be embedded within the scientific team at Xilis BV, based in Utrecht, the Netherlands. As a founding member of the Netherlands data science team, you will be coordinating and working closely with the onsite laboratory staff as well as our existing international data science experts and will exert experimental design influences on the data you will be analyzing. As such the ideal candidate will have experience with driving data analytics independently, and also experience with cross-functional collaborations. You will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics. You will characterize 3D biological systems longitudinally using diverse technologies such as flow cytometry, -omics or brightfield/confocal microscopy experiments. You will lead the design and implementation of pipelines and artificial intelligence algorithms that combine and harness multiple sources of data in order to extract biological and clinical insights.
You will work closely with experimental scientists, device engineers, R&D, business development, software and operations teams to deliver solutions to further precision oncology. You will be part of a fast-paced early-stage startup and have the opportunity to shape the overall direction of data science and product development.
While we prefer this person to be onsite in Utrecht, we will consider remote with occasional travel to the office for this role
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