Researcher to Section for Health Data Science and AI - Københavns Universitet
We have a position as a Researcher (part-time, 20%, term-limited, concluding 31/12/2028) to join us in the newly formed Section for Health Data Science and AI at the Department of Public Health, University of Copenhagen - https://ifsv.ku.dk/
The new section combines a wide range of expertise and resources in the data science and AI domains, including machine learning methodology applied to electronic patient record data, omics data, bioinformatics, systems biology and epidemiology.As a member of the team you will be working on disease mechanisms in cardiology, patient stratification and risk estimation. You will be joining a section led by Professor Søren Brunak that focuses on establishing early competitive advantage in disease-relevant computational analysis across the molecular and clinical data levels.
We are a diverse and highly multidisciplinary section, which is dynamic and ambitious with many renowned scientific collaborations both nationally and internationally.
Your job
The Researcher will work on using health data science approaches to further our understanding of cardiovascular diseases and utilize electronic healthcare records, genetic data, and biomedical images. The Researcher will identify novel phenotypes from the high-dimensional data that are associated that are associated with cardiovascular diseases and their comorbidities.The Researcher will map phenotypes to a clinical space to produce hypotheses and outcomes with translation potential. The aim is to identify genetic and phenotypic prognostic factors for cardiovascular diseases and their subtypes. Previous experience in this field and managing these challenges is an advantage.
Qualifications
Candidates for the Researcher positions must hold a Ph D degree (or equivalent). The successful candidates are expected to have strong qualifications or proven experience within the majority of the following areas:
- Knowledge of cardiovascular diseases.
- Health informatics including genetics.
- At least 6-7 years of expertise in scientific programming (R and Python).
- Experience with the Linux/UNIX operating system, command lines and shell scripting.
- Experience with handling, quality control, and analysis of large-scale biomedical datasets such as electronic health record data or genetic data (sequencing/genotyping data) in a High-Performance Compute setting.
- Strong relationship building ability between academic and clinical environments.
- Excellent communication skills, and fluency in written and spoken English.
The Section is highly multidisciplinary and collaborates with many other research groups nationally and internationally. Strong networking and team player skills are therefore preferred.
Place of employment and work
The employment is at the newly created Section for Health Data Science and AI at the University of Copenhagen, located in central Copenhagen. The research environment is ambitious, diverse and international and the section comprises modern laboratories, supercomputer resources and state-of-the-art facilities within data science.Seminars with high-profile international speakers and regular internal research seminars are organized at the section. The selected candidate may expect some travel activity.
Terms of salary and employmentThe average weekly working hours are 7,4 hours per week.
The position is a fixed-term position limited to a period of 4 years. The start date is 1 January 2024.
Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 38,500 DKK/approx.
5,100 EUR (April 2024 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund.
Foreign and Danish applicants may be eligible for tax reductions if they hold a Ph D degree and have not lived in Denmark the last 10 years.
The position is covered by the Job Structure for Academic Staff at Universities 2020.
QuestionsFor further information please contact sund-hr-ifsv@sund.ku.dk; www.sund.ku.dk
Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).
Application procedure
Your application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents/attachments – all in PDF format:
- Motivated letter of application (Max. one page)
- CV incl. education, work/research experience, language skills and other skills relevant for the position
- A certified/signed copy of a) Ph D certificate and b) Master of Science certificate. If the Ph D is not completed, a written statement from the supervisor will do
- List of publications
- Teaching portfolio (If applicable)
Deadline for applications: 29 October 2024, 23.59pm CET
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further processAfter the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor.
Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.
You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/
The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.
Interviews are expected to be held in week 46.The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.
Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau.Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.
Info
Ansøgningsfrist: 29-10-2024Ansættelsesdato: 01-01-2025
Arbejdstid: Deltid
Afdeling/Sted: Department of Public Health