Postdoc in Computational Biology - DTU Biosustain

Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU)

Are you an experienced scientist with a passion for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk Foundation Center for Biosustainability at the Danish Technical University!

This position is for you if you are an experienced scientist, and you are looking to make a difference being part of multiple initiatives towards the development of new environmentally friendly products, cleaner and more sustainable manufacturing and farming processes, new medical treatments, and richer biodiversity and ecosystems. In this role, you will help to interpret complex multimodal data, and you will do it in collaboration with top research scientist in the field and in an international, motivating, flexible, supportive, and friendly environment at one of the top leading engineering research institutions in Europe.

About the Novo Nordisk Foundation Centre for Biosustainability
Biosustainability is the discovery, production and use of biochemicals at scale to avoid the depletion of natural resources and the harmful impact of existing ones such as fossil fuels on societies, economies and environments. The Novo Nordisk Foundation Centre for Biosustainability (CfB) is an interdisciplinary research centre at the Technical University of Denmark with 300 employees that develops new knowledge and technology to support the production of biochemicals using microbial production. The Centre comprises core facilities and academic research groups doing both basic research to determine the spectrum of chemistry that can be produced biologically and applied/translational approaches focusing on enhancing the strain design and development process. Learn more about our activities and expertise at biosustain.dtu.dk.

The Multi-omics Network Analytics Research Team
The Multi-omics Network Analytics  research lab (MoNA - https://multiomics-analytics-group.github.io/) is an international, dynamic, and creative team dedicated to getting a holistic view of biological systems. At MoNa, we strive for understanding the complexity of these systems and their context to provide new insights and applications that benefit human and environmental health.  

We leverage graph structures to represent, integrate and analyze multi-modal data, employing advanced machine learning techniques to address complex questions in biology. The team is focusing on different computational biology areas: multi-omics data integration, database development, knowledge graphs, and graph machine learning.

Join MoNA, where your creativity meets purpose, and your contributions drive transformative advancements in scientific discovery.

Responsibilities
As a Senior postdoc, you will be able to contribute to designing your own project focusing on implementing cutting-edge algorithms for graph machine learning to integrate and analyze metaomics and metabolomics data. As a researcher, you are expected to publish high-impact papers in leading scientific journals. Additionally, as a senior profile you will help to coordinate projects and provide supervision for junior researchers in the team and contribute to the general data science strategy at the Centre. Further, you will be encouraged to collaborate with fellow researchers, fostering a collaborative and innovative research culture.

The ideal candidate has the following skills:

• PhD in computational biology, bioinformatics, computer science or related field.
• Expertise in graph machine learning and demonstrated experience in multi-omics data integration.
• Strong programming skills in Python and its scientific and graph ML libraries (numpy, pandas, scipy, scikit-learn, pytorch, pytorch geometric, etc.).
• Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance.
• Software engineering skills such as documentation, testing and CI/CD.
• Proven track record of high-impact publications in reputable journals.
• Excellent communication and collaboration skills.
• Curious, proactive, motivated and able to work independently.
• Experience and willingness to supervise and train other team members and colleagues.

Also desirable:

• Experience in cloud environments (e.g., Microsoft Azure).
• Knowledge about databases and data standardisation/ontologies (SQL, NoSQL, Ontologies, etc.).
• Other programming languages would be an advantage.

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. 

This is a 2-year position.

You can read more about career paths at DTU here.

Further information
If you have any questions, you are very welcome to contact Alberto Santos, head of the Data Science Platform at albsad@biosustain.dtu.dk. 

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 19 June 2025 (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. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

The Novo Nordisk Foundation Centre 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 Centre. 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.

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.