Job Description:
We are looking for an experienced post-doctoral fellow with a strong interest in data science and "big data" to join the Birney research group at EMBL-EBI and the Department of Medicine for the Elderly in Addenbrooke's Hospital for an exciting translational bioinformatics position in Geriatric Medicine and Health Services Research in collaboration with the Clinical School in Cambridge University. Qualifications and Experience: There is a need to understand the characteristics, trajectories and outcomes of older people in the acute hospital in order to help refine existing care pathways. Additionally, there is a strong interest in building predictive models tailored to individuals that may help personalise treatment, care plans and enhance patient safety. The post holder needs to hold a PhD in Computer Science, Bioinformatics or related fields and have demonstrable skills in data science and the analysis of large data sets. You should have solid experience working with complex data, have a good knowledge of current machine learning, data visualisation and pattern recognition techniques, as well as being skilled in developing software in a Unix-based environment. The successful applicant will hold a non-clinical honorary contract with the Department of Medicine for the Elderly and will be required to interact with clinical collaborators, presenting results and discussing ideas so good interpersonal skills are required. Knowledge of database design and implementation is not required but would be considered as an advantage. Previous experience in health care will be an asset.
Additional Info:
Since 2014, Addenbrooke’s Hospital in Cambridge has an advanced electronic heath records system (EPIC) that can generate anonymised datasets for service evaluation and research under the appropriate clinical governance and ethical regulations. EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute. Benefits EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else. If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library. Application Instructions: To apply please submit a covering letter and CV, with two referees, through our online system. Additional Information Applications are welcome from all nationalities - visa information will be discussed in more depth with applicants selected for interview. EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.[Click Here to Access the Original Job Post]
We are looking for an experienced post-doctoral fellow with a strong interest in data science and "big data" to join the Birney research group at EMBL-EBI and the Department of Medicine for the Elderly in Addenbrooke's Hospital for an exciting translational bioinformatics position in Geriatric Medicine and Health Services Research in collaboration with the Clinical School in Cambridge University. Qualifications and Experience: There is a need to understand the characteristics, trajectories and outcomes of older people in the acute hospital in order to help refine existing care pathways. Additionally, there is a strong interest in building predictive models tailored to individuals that may help personalise treatment, care plans and enhance patient safety. The post holder needs to hold a PhD in Computer Science, Bioinformatics or related fields and have demonstrable skills in data science and the analysis of large data sets. You should have solid experience working with complex data, have a good knowledge of current machine learning, data visualisation and pattern recognition techniques, as well as being skilled in developing software in a Unix-based environment. The successful applicant will hold a non-clinical honorary contract with the Department of Medicine for the Elderly and will be required to interact with clinical collaborators, presenting results and discussing ideas so good interpersonal skills are required. Knowledge of database design and implementation is not required but would be considered as an advantage. Previous experience in health care will be an asset.
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Additional Info:
Since 2014, Addenbrooke’s Hospital in Cambridge has an advanced electronic heath records system (EPIC) that can generate anonymised datasets for service evaluation and research under the appropriate clinical governance and ethical regulations. EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute. Benefits EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else. If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library. Application Instructions: To apply please submit a covering letter and CV, with two referees, through our online system. Additional Information Applications are welcome from all nationalities - visa information will be discussed in more depth with applicants selected for interview. EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.[Click Here to Access the Original Job Post]