Computational Strain Designer (staff scientist) - DTU Biosustain

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Computational Strain Designer (staff scientist) - DTU Biosustain
Kgs. Lyngby, Denmark
Job Description

Are you a highly motivated scientist with an interest in computational approaches to strain design backed by experience in microbial molecular biology? Would like to join our group and help us realize challenging cell factory projects at The Novo Nordisk Foundation for Center for Biosustainability (CfB)?

Then we have an interesting opportunity for you: We are looking for a colleague in the newly established Computational Design and Analytics group, a part of CfB Biofoundry, where we build cell factories for the various application areas of the center. 

Responsibilities and qualifications
As computational strain designer, you will employ modeling and omics data analysis for target strain designs. You will collaborate closely with experimental scientist and other teams to ensure success of our projects. Adhering to reproducible practices and meeting projects timelines are essential for this role.

Specific tasks include:

  • Computational modeling of metabolism to predict strain phenotype and generate strain designs with desired behavior.
  • Generation of bioparts designs for low and high throughput implementation.
  • Statistical analysis of internal and public datasets (e.g. genomics, transcriptomics, proteomics, metabolomics).
  • Processing, visualization of NGS and other high throughput data.
  • Contribution to development of computational methods, tools, workflows and standard operating procedures.
  • Communication of results with international collaborators.

Qualifications and assessment criteria:

  • As a formal qualification you must hold a PhD degree in bioinformatics, bioengineering or equivalent.
  • 1+ years of experience working in a research organization.
  • Intermediate Python/Pandas skills. Experience interfacing databases and R scripting will be an advantage but not required.
  • Familiarity with methods for computational modeling of metabolism, including constraint-based and kinetic modeling.
  • Familiarity with machine learning, statistical and numerical analysis methods as applicable to strain design problems is a distinct advantage.
  • Experience and/or motivation for building skills within workflow management and standard software engineering practices (eg. snakemake, nextflow, version control, testing, documentation).
  • Ability to communicate technical information to audiences at various levels and from various backgrounds.
  • Ability to work independently and as part of a team. 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

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.

The planned start date of the position in 01.06.2024 and period of employment is until 31.12.2025.

Further information
For questions regarding this position, contact Emre Özdemir ([email protected]).

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .

Application procedure 
Your complete online application must be submitted no later than 29 February 2024 (23:59 Danish time)

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

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD – in English)
  • List of publications 

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.

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. Learn more at biosustain.dtu.dk

Technology for people
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 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.


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Job Info
  • Job Identification 2994
  • Job Category TAP
  • Posting Date 01/30/2024, 04:29 AM
  • Apply Before 02/29/2024, 05:59 PM
  • Locations Søltofts Plads - via Henrik Dams Alle, Kgs. Lyngby, 2800, DK

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