Working on Semantic health data integration for the EU project
CAPABLE (CAncer PAtients Better Life Experience)
24-month appointment, renewable up to 36 months based on strong performance.
The post-doc, working at the University of Haifa, Israel, with the local CAPABLE team led by Prof. Mor Peleg and with global project partners, will lead the research of designing, developing, and evaluating an ontology and service-oriented software that support semantic knowledge and data integration (clinical data, environmental and wearable sensor data, patient-reported data, data from social media and questionnaires). Integrated data will be used to develop predictive models and personalize decision support to cancer patients.
The work will extend Knowledge-Data Ontology Mapper - a tool mapping different schemas of knowledge and data to each other.
INNOVATION: We will use the OHDSI OMOP information model and produce queries accordingly, introduce advanced temporal operators. An ontology will be developed to organize events that trigger the different knowledge sources of CAPABLE.
About the Project:
CAPABLE will exploit Artificial Intelligence (AI) and Big Data for a new model of cancer care, bringing monitoring and personalized decision-support to patients’ homes, supporting them in coping with their needs during changing disease states and adverse event scenarios. CAPABLE will rely on predictive models based on clinical data, data from unobtrusive environmental and wearable sensors, data from social media and questionnaires, as well as on computer-interpretable clinical guideline-based decision-support systems.
Our consortium includes 12 partners from academia, industry, and healthcare institutions in 8 different countries with experience in data- and knowledge-driven AI, data integration, telemedicine, decision support. It is led by Prof. Silvana Quaglini from the University of Pavia. The University of Haifa team is lead by Prof. Mor Peleg, an expert on AI in medicine and chair of the University of Haifa’s Data Science BSc Program and Research Center. The project's duration is 4 years and is expected to start on January, 2019.
About the position
The 24 month appointment is potentially renewable up to 36 months based on strong performance.
The post-doc researcher will work closely with the CAPABLE team at the University of Haifa and with the consortium's partners: mainly from Academic Medical Center (Amsterdam), University of Pavia, and two companies: BIOMERIS S.r.l. (Pavia), IBM Research (Haifa, Israel). He will thus be involved in defining the semantic foundations of data, information, and knowledge to be captured, exchanged, analyzed, and used in the CAPABLE project according to the FAIR (findable, accessible, interoperable and reusable) principles while being compliant to the HL7 FHIR data exchange standard.
The post-doc will lead the research of designing, developing, and evaluating service-oriented software that supports semantic knowledge and data integration (clinical data, environmental and wearable sensor data, data from social media and questionnaires). Fused data will be used to develop predictive models and personalize knowledge-based decision support to cancer patients. The work will extend Knowledge-Data Ontology Mapper (KDOM)– an ontology and tool, mapping different schemas of knowledge and data to each other. It uses the Global-as-View data integration approach to allow defining a computer-interpretable clinical guideline (CIG) once and defining reusable mapping instances between CIGs clinical abstractions and standard patient information models and between electronic health record schemas and the standard model. Once mappings are defined, database queries can be automatically generated.
INNOVATION: Within CAPABLE, KDOM will be extended to use the OHDSI OMOP information model and will produce queries accordingly. The post-doc will introduce advanced temporal operators to handle data that will be collected over time and will need to be abstracted in order to feed the predictive models. An ontology will also be developed to organize the events that will trigger the activations of the different knowledge sources of CAPABLE. Finally, the extended KDOM will be realized as a software component that allows mappings specification, query generation, and APIs by which CAPABLE components could access data using knowledge abstractions.
Requirements and how to apply
The applicant must have a PhD degree in Information Systems or Computer Science and have deep experience in one or more of the following areas: ontologies, databases, big data management, software engineering, service-oriented architecture. The candidate should have good communicative skills in English, both in speaking and in writing; moreover, candidates are expected to realize research ideas in terms of software.
Please send a cover letter, CV, research statement describing past experience and career goals in the area of medical informatics or big data management, and three professional references to email@example.com. Screening of applicants will begin on August 7, 2019 and continue until the position is filled.
The scholarships at the University of Haifa are regulated by the University’s Research Authority and are in accordance with the expertise assumed by the position and the cost of living in Israel.
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