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The Department of Pathology and Clinical Bioinformatics is seeking a Postdoctoral researcher with experience in FAIR, FHIR and (gen-)omics as part of CINECA EU project. This is an excellent opportunity to develop FAIR-FHIR (gen-)omics technology in a healthcare setting with the aim to improve personalized treatment for patients.
CINECA is an ongoing H2020 project that is developing federated solution for population scale genomic and biomolecular data accessible across international borders to accelerate research and to improve the health of individuals resident across continents. CINECA enables genomic and clinical data sharing across federated networks by implementing the Beacon Project from the Global Alliance for Genomics & Health.
The challenge for medical research is FAIR which is further complicated by the need to protect patient's privacy with GDPR guidelines. The department is partner in the FAIR genomes consortium and co-lead for the clinical healthcare work package in CINEA to deliver Federate FAIR GDPR compliant analysis applications for translation research. We have developed a prototype application, myFAIR, and wish to extend this concept and software from this FAIR genomics application for to include Fast Healthcare Interoperability Resources (FHIR) for use in a healthcare setting.
The candidate will be expected to take a leading role in CINECA, to further develop and implement clinical (FHIR) and omics FAIR data management and analysis methodologies, including myFAIR, beyond the current state technology.Work environment
The Department of Pathology and Clinical Bioinformatics provides multi-omics and deep learning (DL) methods (PatHology Artificial iNtelligence plaTfOrM) for diagnostic pathology, translational research and personalized medicine at Erasmus MC. Our bioinformatics approaches have been applied to determine diagnostic, prognostic and predictive biomarkers in ongoing multidisciplinary cross-department collaborative projects, including oncology, cardiology, immunology and now for nephrology and dermatology.
The research focus of the Stubbs Group includes Artificial Intelligence in Healthcare, Translational Bioinformatics, Molecular Diagnostics and FAIR Data management & Analysis. The applicant will be embedded in the Stubbs Group, will work in close collaboration with our Galaxy workflow lead (Saskia Hiltemann), our DL team lead (Dr Yunlei Li), our PHANTOM collaborators and be responsible for the PhD students that are already funded on CINECA.Qualifications and skills
The candidate should be a creative and enthusiastic researcher with a PhD degree in a relevant field (e.g. Bioinformatics, Biomedical Engineering) with experience in FHIR, statistical analysis of clinical data and understanding of omics data would be preferable. You will be expected to have excellent analytical skills, expertise in R and software development (e.g Python) as well as expertise in FHIR informatics.
Before you apply please check our conditions for employment.Terms of employment
The terms of employment are according to the Collective Bargaining Agreement for Dutch University Medical Centers (CAO UMC). Upon commencement of employment, we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided CV. Erasmus University Medical Center's HR Department will apply for this certificate on your behalf.Information and application
For more information about this position, please contact Dr. Andrew Stubbs, by phone number +31(0)10 704 47 76)or e-mail: email@example.com. For queries regarding your application, please contact Jerry Chandansingh, Recruiter, by phone number: +31 (0)6 500 310 06.
If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website.
No agencies please.