Research Prime

Postdoc in Computational Biology/Bioinformatics at BRIC

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

Job Description:

Faculty of Health and Medical Sciences
University of Copenhagen

We are looking for a highly motivated and dynamic computational postdoc for a 3-year position to join the group of professor Ana Cvejic from the 1 August2023 or soon thereafter.
Information on the department can be found at:https://www.bric.ku.dk/

Our research
The aim of our group is to decipher how differentiation pathways of haematopoietic cells are influenced by different microenvironments. To achieve that we use state-of-the-art single-cell RNA-seq single-cell ATAC-seq and spatial transcriptomics data generation combined with computational analysis to establish principles of blood lineage differentiation.We are working with human foetal haematopoietic cells to reveal the dynamics and cellular programmes active during human blood development as well as cancer patient samples to investigate the influence of tumour microenvironment in the context of pathological differentiation of immune cells. We are a team of highly collaborative researchers performing exciting interdisciplinary science using cutting-edge technologies.

Your job
In this project you will analyse newly generated single-cell (scRNA-Seq and scATAC-Seq) as well as spatial transcriptomics data sets (In Situ Sequencing and 10x Visium) to understand the molecular properties of haematopoietic cells. You will employ methods from high dimensional and spatial statistics to chart and understand the nature of different haematopoietic cells how they interact and change biological functions and how the underlying molecular changes could be exploited as therapeutic targets.

The successful candidate will have a PhD in Bioinformatics Computational Biology Biostatistics or in a related quantitative field (e.g. Statistics Mathematics Physics). You will be passionate about science hardworking and excited to learn and improve skills in an outstanding research environment. You will be part of a multidisciplinary team and will be tasked with proactively seeking and maintaining appropriate collaborations. Your task would be to drive forward the project working closely with biologists clinicians and bioinformaticians within and outside the group to accomplish scientific objectives.

Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

Essential experience and skills:

  • You have a PhD in Bioinformatics Computational Biology Biostatistics or in a related quantitative field (e.g. Statistics Mathematics Physics) and a passion for problem solving
  • You are highly experienced in a research environment with a well-established publication track record
  • You have formal and extensive training in mathematical statistical and machine-learning-based analysis of complex data sets such as dimensionality reduction hypothesis testing clustering etc.
  • An understanding experience and published outcomes from analysing and interpreting large datasets using statistical programming languages (e.g. R Python etc.)
  • Proven independent working style technical problem solving data analysis and generation of novel ideas
  • Proficient communication skills and ability to work in teams
  • Excellent English skills written and spoken

Desirable experience and skills:

  • Experience with large single cell data analysis such as differential expression analysis cell type annotation trajectory analysis etc.
  • Training in statistical methods appropriate for single-cell biological research e.g. zero-inflated data multiple testing problem batch correction and data integration etc.
  • Experience in genomics approaches and in method development.

Place of employment
The place of employment is at the BRIC University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and core facilities Core Facilities University of Copenhagen (ku.dk).

Terms of employment
The average weekly working hours are 37 hours per week.

The position is a fixed-term limited to a period of 3 years with the possibility of further extensions. The starting date is the 1 August 2023or soon thereafter.

Employment will be in accordance with the provisions of the collective agreement between the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations). The monthly salary will be based on the number of years of work experience (seniority) with the possibility to negotiate a salary supplement based on prior experiences and qualifications. The employer will pay an additional 17.1 % to your pension fund.

Questions
For further information please contact Ana Cvejic; ana.cvejic@bric.ku.dk; www.sund.ku.dk

Application
Your application should in English include:

  • Letter of application addressing the requirements (max. one page).
  • Curriculum Vitae
  • A certified/signed copy of certificate(s) of education

Please submit your application by clicking on Apply Now below. Only online applications will be accepted.

Application deadline: 11 May2023
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.

Interviews are expected to be held in the end of May.

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


Posting Date: May 09, 2023
Closing Date:
Organisation Website/Careers Page: https://employment.ku.dk/faculty/?show=158419


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