Research Prime

Bioinformatics PhD fellow or postdoctoral fellow for multi-omics investigation of cardiac disease

Organisation Name: University of Copenhagen
Organisation Type:
City:
State:
Country: Denmark

Job Description:

Job Description

The Cardiac Proteomics Group at Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen wishes to appoint a talented PhD fellow and/or postdoctoral fellow for a joint proteomics and transcriptomics project investigating the temporal and spatial underpinnings of cardiac disease. The candidate will analyze spatial transcriptomics and spatial proteomics data acquired at defined temporal disease points. This will lead to investigation of the cardiac disease at unprecedented molecular level.

We are seeking a highly motivated scientist to join our team who will work on a large-scale project investigating the molecular changes in heart disease by state-of-the-art measurements from an animal model of a cardiac disease as well as human heart samples.

Qualification Requirements

  • Holds a PhD (for post doc applicants) or M.Sc. (for PhD applicants) in a highly quantitative field including but not limited to Bioinformatics Computer Science Applied Mathematics Biomedical Engineering or Computational Physics
  • Ambitious creative independent and self-driven
  • Hands on skills and expert knowledge in one or more of the following areas:
    • Experience with downstream analysis of data dependent/independent acquisition (DDA/DIA) LC-MS/MS data
    • Analytical know-how of mass spectrometry-based proteomics (LC-MS/MS)
    • Analytical know-how of single cell/bulk RNAseq data
    • Analytical experience with spatial transcriptomics data
    • Experience integrating multiple omics datasets
    • AI based image analysis of HE stained sections
    • Excellent programming skills fluency inPython and R programming languages as well as sound knowledge of statistical data analysis

  • Prior experience within cardiac research is an advantage but not a requirement
  • Good communication skills in English both oral and written is a requirement

The preferred applicant should have an excellent academic track record solid research experience and be highly motivated to deploy diverse strategies to extract novel findings of importance to cardiac pathophysiology. Previous research experience in a competitive environment is required.

Our group and environment
The candidate will be part of the Cardiac Proteomics group led by Professor Lundby at the Department of Biomedical Sciences at the University of Copenhagen Denmark. The successful candidate will be working in a team of scientists across multiple scientific fields focused on improving our molecular understanding of cardiac pathophysiologies. Our facilities include state-of-the-art laboratories and core facilities as well as modern office spaces. The position provides a unique opportunity to develop expertise in cutting edge quantitative mass spectrometry-based proteomics data analysis of large datasets and integration of multi-omics datasets. Striving for academic excellence collegial respect and freedom tempered by responsibility we offer creative friendly and stimulating working conditions in a dynamic and strong scientific environment where you get the opportunity to plan your work independently to further your professional and personal development.


Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations (AC). The allowance will be agreed with the relevant union.

Workplace and period of employment
Workplace is located at Maersk Tower The Panum Institute University of Copenhagen Denmark. The period of employment for postdoctoral candidates is 2 years and for PhD fellows 3 years. Suggested start date is by mid-February/start March 2024.

General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate Schools website:
https://healthsciences.ku.dk/phd/guidelines/

Further information
Further information may be obtained from Professor Lundby:
alicia.lundby@sund.ku.dk.

You can read more about Cardiac Proteomics Group at
www.lundbylab.com

You can read more about the Department of Biomedical Sciences at www.bmi.ku.dk

Application procedure
Interested candidates are encouraged to submit an online application by clicking APPLY NOW below no later than December 3 2023.

The File Must Include

Applications must be submitted asone PDF filecontaining all materials to be given consideration. Attachall your materials in English in one PDF file. The application should contain:

Applications and enclosures received after the deadline will not be considered.

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.


After the expiry of the deadline for applications the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and 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 www.employment.ku.dk

The Faculty of Health and Medical Sciences comprises approximately 7500 students 1500 PhD students and 3200 employees. The Faculty advances the field of health sciences through its core activities: research teaching knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society the Faculty contributes to a healthy future through its graduates research findings and inventions benefitting patients and the community.


Posting Date: Nov 14, 2023
Closing Date:
Organisation Website/Careers Page: https://employment.ku.dk/faculty/?show=160417


Subscribe for receiving latest updates in Computational Sciences