Postdoc jobs or Researcher Position in DTU Technical University of Denmark

Postdoc in Bioinformatics and Data analysis at DTU, Denmark, May 2022


DTU Bioengineering, Technical University of Denmark looking for a highly motivated computational postdoc for a 2-year position, to join the group of Associate Professor Kedar Natarajan from July 1st 2022 or soon thereafter.

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General Info

Position: Postdoctoral Fellow
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: July 1st 2022
Contract Period: 2 Years
Salary: According to standard norms

Department of Biotechnology and Biomedicine (DTU Bioengineering)

Technical University of Denmark (DTU), Denmark


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Qualification Details

We are looking for a motivated and enthusiastic researcher with following competences:

Essential experience and skills:

  • PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics)
  • Proficiency with programming languages (Python or R) and documented experience analysing NGS datasets (bulk transcriptomics, ATAC-seq, ChIP-seq etc.,), and working with HPC.
  • Good publication record
  • Proficiency in written and spoken English and ability to work in collaborative environment

Desirable experience and skills:

  • Prior experience with multi-modal single cell analysis, Machine Learning and/or big data analysis
  • Experience with computational methods/algorithm development and data integration
  • Experience with different graphical packages for scientific manuscripts and illustration.

You will be based at DTU Bioengineering, and interact locally with other bioinformatics colleagues and groups at Bioengineering and DTU Health Technology, as well as our national, international partners. A collaborative mindset is expected as well as a proven ability to work in teams and communicate scientific research through presentations and submitted manuscripts. Working independently and charting research direction are valued. If you are highly driven, you will have opportunities to write grants for further strengthening research opportunities and participate in the broader collaborations.

Responsibilities/Job Description


You will be mainly involved in analysis of single-cell genomics datasets (scRNA-seq, scATAC-seq, imaging/seq-based spatial Tx) to understand molecular mechanisms driving cellular differentiation. Alongside setting up workflows for single-cell analysis, you will be involved in developing new computational methods for single-cell analysis (transcriptomics, spatial analysis) for ongoing lab projects.

The candidate should have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with prior experience in analysing bulk and single-cell sequencing datasets. As a part of a multidisciplinary team and research environment, the candidate is expected to be passionate about science, hardworking, learning oriented and work collectively within the group and with collaborators.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

Your complete online application must be submitted no later than 30 May 2022 (Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Cover/motivation letter of application (max. 2 pages).
  • CV incl. education, work/research experience and skills relevant for the position.
  • PhD certificate (if not completed, a written statement from the supervisor will be accepted
  • List of publications
  • Contact information of 2-3 referees

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

About the Group

Our group investigates how individual cells undertake cell-fate decisions in stem cells and complex tissues, particularly in development and during differentiation. We develop, utilise experimental methods including single-cell transcriptomics, ATAC-seq, multi-omics and spatial transcriptomics, and also develop computational approaches for large-scale analysis of next-generation sequencing data

Our science and team is highly collaborative and interdisciplinary, and welcomes new members with competences in relevant fields.

More details can be found at:

About the Employer:


The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years.

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Contact details

Further information may be obtained from Assoc. Prof. Kedar Natarajan ([email protected])

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