Region Hovedstaden

Region Hovedstaden

Gentofte Hospitalsvej 19, 2900 Hellerup

Data architect / data manager to establish Data Analytics Platforms for PRECISION PSYCHIATRY involving Big Data from large scale electronic health records and nationwide registers to multimodal phenotyped clinical studies (Computer Science&Bioinformatics)

Data architect/manager to establish Data Analytics Platforms for machine learning on large-scale complex multimodal data to advance PRECISION PSYCHIATRY

We are looking for a highly motivated data architect/manager starting on September 1, 2024, or after agreement.

About us

The Copenhagen Research Center for Biological and Precision Psychiatry is a leading Danish research center within the field of psychiatry with a remarkable research output and an extensive international network. Our main research focus is on prevention as well as improvement of symptoms and quality of life for people with severe mental disorders. The research center is currently innovating in the psychiatric field with quantitative approaches applying statistics and AI to medical and biological data. Thanks to the exceptional quality of nationwide Danish registers and population-based electronic health records, we are becoming a key reference worldwide.

Our researchers share a common purpose as they seek to understand the mechanisms involved in mental disorders, identify objective markers relevant for mental disorders, and to accelerate the understanding of mental disorders towards new prevention and treatment strategies – with a high focus towards improving the current treatments of mental disorders.

About the projects

The PRECISION PSYCHIATRY and the EpiPsych projects brings a unique opportunity to leverage the Danish electronic health records, containing detailed longitudinal large-scale clinical information, by utilizing multivariate statistics and machine learning including deep learning approaches. Data content includes both structured data (treatments, laboratory tests, etc.) as well as unstructured data (written clinical notes and brain scans). Moreover, we are starting a Clinical Test Center for data driven treatments as part of the EpiPsych project, with clinical testing of multiple prediction models with integrated genetic information, in a novel online platform, with the best models being integrated directly in the EHR. 

This project aims to discover novel ground-breaking insights into mental disorders, identify clinical state markers and biomarkers for stratification of mental disorders and disease trajectories, as well as identify modifiable factors with prevention potential. The multivariate understanding of objective markers with clinical relevance is also needed for the clinician to get precise prediction estimates and to identify protective factors for mental disorders, which is now based on the clinicians’ intuition. All previous attempts towards more precision psychiatry have not been suited for implementation in clinical practice so far. Therefore, the field of psychiatry still has many unknowns, remaining as a challenge to which we believe these projects will greatly contribute.

With the combination of exceptional large-scale data and individual AI models targeting the different data types, we intend to develop EHR prediction models with sufficient accuracy to warrant clinical implementation. The EHR markers can provide novel direct data-driven support for diagnostics, prevention, and treatment of mental disorders. If sufficient precision is obtained, this and potentially other models can be directly tested and implemented into the EHR system through decision support tools. And this will pave the way to actual clinical implementation that would enable the advancement of precision psychiatry.

The EHR projects are based on the EPIC EHR system, which is the most widely used EHR system in the world, securing international implementation of recent developments within precision psychiatry, in addition to the world famous Danish nationwide registers and biobanks, also complemented by our clinical cohorts and clinical test center.

About the center and group

We offer an inspiring and informal research environment at a high international level with colleagues from different educational backgrounds, such as bioinformaticians, statisticians, doctors, geneticists, project nurses, etc. The Research Director and PI for the project is Professor Michael E. Benros, chief physician, PhD, and director of the Copenhagen Research Centre for Biological and Precision Psychiatry, at the Mental Health Center Copenhagen, Copenhagen University Hospital and at the University of Copenhagen. Among other topics, the group has strong experience and on-going research on Big Data from the nationwide Danish registers and biobanks in addition to detailed clinical studies with multimodal data as wearables and multi-omics that we believe will be beneficial for the projects in both directions.

Moreover, the PRECISION PSYCHIATRY project have a strong collaboration with co-PI Simon Rasmussen’s expert group in machine learning, Big Data and multimodal analyses for Disease Systems Biology at the University of Copenhagen, also in Copenhagen, as well as experts in AI-based analyses of brain imaging and EHR data together with other leading international groups with the same interests and private companies. The EpiPsych project is in close collaboration with the internationally leading Danish National Centre for Register-Based Research (NCRR), Aarhus University.

As a working culture, we are ambitious and result oriented, while also like enjoying some time together by organizing different types of social activities from time to time both at the research center and outside. You will be part of an internationally leading cross-disciplinary team working towards data-driven improvements of the current treatment of mental disorders.

About the positions

The offered positions are 1-year to 3-year data architect/manager at the Copenhagen Research Centre for Biological and Precision Psychiatry that combine a strong level of technical knowledge within AI, data management and data analysis, as well as scientific interest in the clinical implementation. These are planned to be dynamic positions for applied research that can adapt to each profile.

The positions fall within a collaborative multi-disciplinary project that will involve other positions, including computer scientists, bioinformaticians, medical doctors and statisticians. It is thus required for the applicants to have the ability to work and communicate together with clinical researchers and researchers with other backgrounds along the project. Your day-to-day tasks will involve both independent work and active discussions with your colleagues.

Start Date: As soon as possible

About you

Requirements

  • A master’s degree or Ph.D. degree in Computer Science, Statistics, Bioinformatics, or related fields
  • Experience with big data management and data processing techniques (mainly Python)
  • Proven research expertise in data preparation and visualization and model deployment
  • Scientific interest for the understanding and explainability of AI model predictions, to ensure a clinical implementation by providing a funded trust in the results to clinicians
  • Strong communication and collaboration skills within a dynamic multi-disciplinary workspace
  • A profound interest in our vision of improving the current treatments of mental disorders

Preferred qualifications

  • Previous experience with Azure ML or cloud computing systems
  • Experience with developing secure online analytical platforms to be used in the clinical test center
  • Strong knowledge in machine learning, deep learning and statistics
  • Understanding of NLP (Natural Language Processing) & transformers, and/or image processing, for   the unstructured data
  • Image processing experience of brain scans or similar within the medical field

 Place of employment

The place of employment is the Copenhagen Research Centre for Biological and Precision Psychiatry at the Mental Health Centre Copenhagen, Copenhagen University Hospital, located at Gentofte Hospital. We offer creative and stimulating working conditions in a dynamic, diverse, and international research environment.

Application process

Please submit your application in English or Danish

The application must include the following attachments:

  1. Letter of motivation/Cover letter (1 page in length)
  2. Your CV (including education, a list of skills/techniques, previous employments, and other relevant skills)
  3. Copy of relevant certificates/diplomas (Transcript of MSc or of doctoral studies as well as corresponding degree certificate)
  4. List of publications (if available)
  5. Contact details of possible referees from 1-2 people. We will contact your referees if required.

All materials should be submitted in a PDF format using the link "Søg job".

Deadline for applications is: 4th of August 2024 at 23.59 CET

Questions / Contact:

For further information about the job description and qualifications, please contact Head of research, Professor Michael Eriksen Benros, michael.eriksen.benros@regionh.dk, Direct Phone: +45-26255239, or

Secretary: Signe Clausen signe.clausen@regionh.dk

  • Fakta

  • Arbejdssted
    Psykiatrisk Center København
  • Kontaktperson
    Michael Eriksen Benros
    Michael.Eriksen.Benros@regionh.dk
  • Adresse
    Gentofte Hospitalsvej 19, 2900 Hellerup
  • Stillingstype
    Projektleder
  • Ansættelsesform
    Tidsbegrænset periode
  • Ugentlig arbejdstid
    Fuld tid
  • Ansættelsens start
    Snarest muligt
  • Regionens jobnr.
    257173
  • Quick-nr.
    465018
  • Indrykningsdato
    02-07-2024
  • Ansøgningsfrist
    04-08-2024


Søg jobbet
  • Fakta

  • Arbejdssted
    Psykiatrisk Center København
  • Adresse
    Gentofte Hospitalsvej 19, 2900 Hellerup
  • Kontaktperson
    Michael Eriksen Benros
    Michael.Eriksen.Benros@regionh.dk
  • Stillingstype
    Projektleder
  • Ansættelsesform
    Tidsbegrænset periode
  • Ugentlig arbejdstid
    Fuld tid
  • Ansættelsens start
    Snarest muligt
  • Regionens jobnr.
    257173
  • Quick-nr.
    465018
  • Indrykningsdato
    02-07-2024
  • Ansøgningsfrist
    04-08-2024

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