Postdoc position with a focus on data analysis and bioinformatics

Tuesday 10 May 22

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Apply no later than 1 June 2022
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We are looking for a Data Analyst who will be responsible for integrating and interpreting large-scale multi-level datasets using novel data science approaches to generate know-how for creating detailed knowledge about bacterial performance under a broad spectrum of conditions.

The proposed start date of this position is August 15, 2022.

This unique position will be placed partly in the Bacterial Cell Factories Group and partly in the Infection Microbiology Group at DTU Biosustain. The research projects in these two groups cover bacterial performance associated with two of the most urgent challenges in our society – reduction of CO2 emissions by converting industrial waste gasses into useful biochemicals, and antibiotic resistance undermining effective treatment of human bacterial infections.

At the Bacterial Cell Factory group, headed by Professor Alex Toftgaard Nielsen, DTU, you will contribute to engineering the next generation thermophilic bacterial cell factories. You and your team colleagues will combine methods from diverse fields such as systems and synthetic biology, computational modelling, strain engineering, biochemistry and fermentation technology to construct robust and highly efficient production strains and processes. Your research will pave the way for production of sustainable solvents used in the global plastic industry. A goal of the project is to build a near full-scale fermentation plant in Trondheim, Norway, being able to convert 10.000 tons of CO2 into commodity chemicals per year. The group has approx. 12 employees and will be collaborating with experts across Europe.

In the Infection Microbiology Group, headed by Professor Søren Molin, DTU, and Professor Helle Krogh Johansen, Rigshospitalet, you will be working with a common aim towards bridging the gap between academic biomedicine projects and their clinical applications. We aim at establishing and integrating a workflow, from synthetic biology through genetic engineering, multi-omic data generation from bench-scale infection models, and comparisons with clinical investigations of infected patients. The Group has a total staff of approx. 20 employees, comprising a highly motivated team of Engineers, Scientists, Clinicians and students to tackle this challenging task. Important focus points of the project are: elucidate host/microbe interactions and responses to fluctuating environmental conditions in a newly developed miniature organ infection model (‘organoids’) from multi-omics and bioprocess data analysis, and design of strategies for identifying and testing biomarkers for improved clinical diagnostics as well as the action of new and old types of antibiotics.

Responsibilities and qualifications
You work will include analyzing and integrating -omics data to gain an understanding of bacterial performance.

Your primary tasks include

  • Processing, visualization of multi-level (cellular-bioprocess level) large-scale data sets from multiple projects with microbial strains infecting differentiated cell cultures as well as from bacterial cell factories producing biochemicals.
  • Computational modelling of microbial metabolism to elucidate strain physiology from bioprocess data. 
  • Statistical analysis of internal and public datasets (e.g., genomics, transcriptomics, proteomics, metabolomics).
  • Contribute to Identifying targets for genome engineering to boost strain performance
  • Contribution to the development of computational methods, tools, and workflows.
  • Communication of results with internal and international collaborators.

Candidates should have a PhD degree in a field of biological sciences with at least 2 years of work experience in the field of data science. Experimental experience in cell biology and/or microbiology is further highly preferred. We are looking for a candidate with a

  • Background in:
    • Microbial cultivation and quantitative microbial physiology
    • Graph theory, network biology and systems biology
    • Computational analysis (Python, Matlab, R, etc) 
  • Expertise in:
    • Bioinformatics
    • Algorithm or platform analysis
    • Methods for computational modelling of bio-processes  
    • Applying statistical and machine learning methods to interpret large-scale multi-omic data sets 
    • Interfacing with and/or implementing databases, 
    • Scientific writing and communication in English

We look forward to employ a candidate who

  • Enjoys working with complex topics
  • Thrives on collaboration/teamwork with a focus on the process as well as the outcome
  • Believes in dialogue and feedback as the best foundation for sound decision-making

What we offer in return
We offer an interesting and challenging job in an international cross-disciplinary atmosphere with the focus on research, education, innovation and translation of basic science results to clinical applications for the benefit of patients as well as to biotechnology development to the benefit of everybody. We offer a great flexibility in the position, spanning several DTU departments and a number of hospital departments.

Salary and terms of employment
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.

Please note that this position is time limited to 2 years with employment at DTU.

Further information
Further information may be obtained from Professor Alex Toftgaard Nielsen, telephone

+45 2179 8906, mail, and Professor Helle Krogh Johansen, telephone +45 3122 8406, mail

If you are moving from abroad, you might find useful information via this link:

Application procedure 
Please submit your online application no later than 1 June 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 as one PDF file. The file must include:

  • Application (cover letter)
  • CV (including details, under appropriate headings, starting with the most recent)
  • Diploma (Bachelor/Master/PhD)
  • List of publications 

Please note, that applications and enclosures 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. 

The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain)
Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods.

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DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.