27/03/2020
Marie Skłodowska-Curie Actions

Postdoc candidate for a MSCA IF in AI, medical records and personal health surveillance

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  • OFFER DEADLINE
    15/05/2020 23:30 - Europe/Brussels
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • LOCATION
    Luxembourg, Esch-sur-Alzette
  • ORGANISATION/COMPANY
    Megeno (application management through Luxinnovation)

Megeno is interested in hosting a postdoctoral fellow within the Marie Skłodowska-Curie Individual Fellowship programme. 

 

         Please note that this opportunity is not a funded positions (yet); it depend on

         1. The organization selecting you for continuing the process and

         2. A successful proposal written mostly by you (with some input from your host organization           in Luxembourg) and submitted before September 9th 2020.

 

 

Project idea: 

 

Research group/interests:

Megeno is currently developing a comprehensive solution for genome-informed prevention and early detection of a broad range of diseases known as Personalized Health Surveillance (PHS). PHS is a service enabling private individuals to become aware of their risk for future healthcare complications by analysing their genomic data and reveal their genetic predispositions to future conditions. This early detection provides an opportunity for prevention or management via early medical intervention, lifestyle modifications, or longterm monitoring, all of which will be suggested through workflows co-developed by European guideline-defining clinical experts and the Megeno team. PHS represents a novel category of personalised preventive healthcare and will be integrated into the European ecosystem of national healthcare providers and clinical genetics research. A key underlying principle of PHS is the engagement of the individual in the follow-up on genetic predispositions using innovative ways of phenotyping with web/mobile interfaces, at-home sampling (e.g. of capillary blood) and wearable devices. 

Idea/scope:

Medical records are a rich source of phenotype information, creating significant opportunities to aid in medical practice. Due to the ambiguity and diversity of formats, inconsistency within medical records, extraction and use of phenotypes from medical record narratives remain a challenge. Moreover, the records are scattered between several  archives (computerised and paper-based) in various locations, often under different identifier numbers. Much of the information in the records is obsolete, redundant, duplicated, or indecipherable to the extent that it neither substantiates nor complements a physician’s consultation. Artificial Intelligence (AI), along with advanced machine learning methods, qualifies and quantifies data and experts’ knowledge integration to offer insights into medical records. This project aims to develop an efficient AI-based system for medical doctors to support personalized consultation strategies. The presence of complete, up-to-date and accurate medical records corroborates their regular use in medical practice. Unlike previous work on electronic health records, the selected candidate will write a proposal for developing a comprehensive AI-based system to:

  1. Curate heterogeneous medical records in various sources, e.g., electronic and paper-based sources
  2. Apply state-of-the-art methods and technologies to pre-process unstructured, semistructured, and structured formats
  3. Consolidate pre-processed data in a well-structured medical record repository
  4. Develop AI-based analytic methods to retrieve useful information and detect abnormal clinical patterns, events in the medical records, suggesting further investigation from the doctor. For example, an “out of normal range” level of a blood analyte, conflicting information, etc.
  5. Infer contextual questions to reassess the phenotypes and concerns with patients and to suggest follow-up personalized health surveillance

 

Offer Requirements

  • PhD in bioinformatics, computer science or equivalent
  • Experience in AI, data science
  • Experience in programming languages such as Python, R, Scale, etc.
  • Experience with data processing libraries/tools, e.g. natural language processing tools, optical character recognition
  • Knowledge on data structures
  • Experience working with high-performance computing or cloud environments will be considered an advantage
  • Creativity and enthusiasm for technological solutions
  • Communication skills as well as fluency in oral and written English
  • Collaborative attitude

 

Institute description: 

Megeno S.A. (formerly Megeno S.à r.l.) was formed by a group of accomplished Luxembourg-based scientists and experienced entrepreneurs from the Munich bio-health sector. Its founders, directors, and CEO have extensive experience in successful start-ups and growth of new ventures. Megeno is located in the heart of Belval, as one of the first start-ups in the recently-formed Incubator of the University of Luxembourg.

Our interdisciplinary team of 16 people encompasses experts from systems biomedicine, bioinformatics, data science, business development and corporate development, of which eight are MD or PhD holders. Megeno is looking to further expand its multidisciplinary research team and expertise to better serve and broaden its target market. To do so, the total number of research scientists is expected to grow to between 20 and 30 by the end of 2021. Megeno is building a Luxembourg-based research centre implementing novel and secure technology and methodologies for using whole genome sequencing data in the early

 


 

About Marie Skłodowska-Curie Actions Individual Fellowship:

The MSCA IF are postdoctoral fellowships, financed through the European Commission for 2 year positions, covering salary and research costs of the researchers, who can come from anywhere in the world. The evaluation process of these programmes is more about the project and the career development of the candidate, than his/her publication record. The organizations in Luxembourg that want to host such talented researchers include large public research organizations as well as private companies that offer interesting job perspectives after completion of the fellowship.

Minimal eligibility criteria

  • Individual: applicant applies together with host institute
  • PhD at the deadline or Masters plus 4 years of full time equivalent research experience
  • Not working or living in Luxembourg for longer than 12 months before the call deadline
  • For rules see here or contact your NCP

 

How to apply

Please submit your CV to Charles Betz, Advisor - European R&D and Innovation Support at Luxinnovation, until May 15th 2020 and refer to which position(s) you are applying for; you can also send several finetuned CVs if you are interested in multiple positions. Make sure you address the text and requirements mentioned by the respective hosts. 

Please note that applications are made through Luxinnovation, your contact point for Horizon 2020 in Luxembourg, before being handed over to the host company.

 

Luxinnovation, the Luxembourgish Innovation agency and National Contact Point for MSCA, will support both you and your future host institute during your application phase. For all applicants coming to Luxembourg we offer guidance documents, webinars, training in proposal writing and we will review your proposals if you wish so (depending on our availability). In 2019, MSCA IF proposals from Luxembourg had an average success rate of 28.5%, and proposals reviewed by our service 42%.

More information can be found on our website.

 

  • Artificial Intelligence
  • medical records
  • personal health surveillance
  • abnormal detection
  • information retrieval
 

 

Disclaimer:

The responsibility for the hosting offers published on this website, including the hosting description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.