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The Center for Computational Biomedicine (CCB) is a new center at the Harvard Medical School (HMS). Our mission is to provide cutting-edge computational capabilities, data analysis, and data integration technologies to support medical and biological research. We are a multi-disciplinary team of computational and quantitative scientists with a breadth of computational, bioinformatics, and data science expertise, who work collaboratively both within the center and with the HMS community to support their research. The scope of CCB projects includes four groups: Data & Analytics Platforms, Knowledge Representation, Functional Genomics, and Image Analysis.

We seek a highly motivated, collaborative individual with excellent communication skills to join our Knowledge Representation team as a Senior Software/Data Engineer. You will help to design and implement novel solutions to standardize (meta)data using ontologies, with the goal of integrating large, complex, heterogeneous datasets. The datasets include healthcare insurance claims, electronic health records, genomics, environmental exposure, among others. The integration of these data will support large-scale epidemiological research in precision medicine, healthcare, and basic science, all with the goal of improving patient outcomes.

In this role, you will leverage ontologies and automated reasoning to develop sophisticated data and knowledge discovery solutions. Your work will use a wide variety of technologies, including ontology APIs and tools (e.g., OWL API, owlready2), public and protected relational and graph databases, and containerized services. You will have strong skills in Python or Java, and research experience or experience working in a research environment. You will be able to work independently and collaboratively on scientific and engineering problems and deliver solutions.