Location: Geneva, Switzerland
Type: fulltime
Job description:
HON Foundation is Geneva-based a non-governmental international organization dedicated to improving the quality of information for patients and facilitating access to the most relevant and up-to-date medical discoveries for health professionals. Created in 1995 under the auspices of the Geneva Ministry of Health, HON is internationally recognized for its pioneering work in the field of Online Health Information Quality.
The development of the Internet forces us to face new challenges in the representation of knowledge in areas where understanding and quality are essential. With the advancement of technology, it is possible to facilitate information retrieval through data structuring. HON is working on this very important subject. At the cutting edge of Internet research and technology for online medical and health information quality, HON is a partner in the KHRESMOI 4 year project within the 7th framework program of the European Commission.
Khresmoi.eu aims to develop a multi-lingual, multi-modal search and access system for biomedical information and documents. This will be achieved by:
Type: fulltime
Job description:
- Provide data analysis services based on various data sources including search usage data and external data;
- Based on analytic results, design and develop innovative techniques for improving search quality on text and multimedia formats – automatic/semi-automatic classification according to terminologies and detection service for identification of ethical criteria and readability levels in non-structured health web documents, from proof-of-concept to functional production prototype;
- Participate in research projects involving case studies, methodology research, tool evaluation, model development, and prototype deployment;
- Application of state-of-the-art natural language processing and information retrieval techniques to model and structure text;
- Use of sophisticated analytical methods to automate existing processes and enable new capabilities;
- Building fully scalable prototypes to test new algorithms;
- Migrating from the research prototype to delivering the solution into production;
- Write reports on deliverables achieved and scientific articles;
- Work in an academic research environment with a commitment to production application.
- Bachelor's degree in Computer Science;
- Strong background in the theory and application of set-theoretic, and probabilistic modeling techniques as commonly applied to information retrieval;
- Familiarity with discriminative and probabilistic methods, text processing, language modeling, and natural language processing;
- Experience in scripting languages (Perl/Python). Multi-threaded programming, and web-service applications are a great plus;
- Applied machine learning skills;
- Familiarity for large-scale data processing in information indexing and retrieval methods;
- Strong preference will be given to candidates with both research and product delivery experience;
- Ability to work independently;
- Attention to detail and data accuracy;
- Demonstrated strong problem-solving skills and creative thinking skills;
- Strong communication and collaboration skills.
HON Foundation is Geneva-based a non-governmental international organization dedicated to improving the quality of information for patients and facilitating access to the most relevant and up-to-date medical discoveries for health professionals. Created in 1995 under the auspices of the Geneva Ministry of Health, HON is internationally recognized for its pioneering work in the field of Online Health Information Quality.
The development of the Internet forces us to face new challenges in the representation of knowledge in areas where understanding and quality are essential. With the advancement of technology, it is possible to facilitate information retrieval through data structuring. HON is working on this very important subject. At the cutting edge of Internet research and technology for online medical and health information quality, HON is a partner in the KHRESMOI 4 year project within the 7th framework program of the European Commission.
Khresmoi.eu aims to develop a multi-lingual, multi-modal search and access system for biomedical information and documents. This will be achieved by:
- Effective automated information extraction from biomedical documents, including improvements using crowd sourcing and active learning, and automated estimation of the level of trust and target user expertise;
- Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (MRI with a time component);
- Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases;
- Support of cross-language search, including multi-lingual queries, and returning machine-translated pertinent excerpts;
- Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations.
Please submit your CV, letter of motivation, and salary expectations to HONsecretariat@healthonnet.org
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