Junior Data Scientist

We are looking for an enthusiastic data scientist for the Data Science platform to support our research groups. The job will include running data processing and analytics in collaboration with our DTU-Biosustain researchers and contributing to build our Informatics platform infrastructure. The job We are seeking a motivated Junior Data Scientist to join our Data Science Platform supporting biosustainability research. You will work closely with biologists and bioinformaticians developing sustainable solutions in areas such as microbial foods, natural products, and bio‑based chemicals. This role is ideal for someone with a strong computational background who is eager to contribute and quickly learn in multi‑omics analytics, microbial genomics, and AI‑driven biological data science. Responsibilities Support data management, processing, curation, and analysis for biosustainability research projects. Perform data crunching and exploratory analyses across genomic, transcriptomic, proteomic, metabolomic, and other multi‑omics datasets. Some experience running comparative genomics, metagenomics, and next‑generation sequencing (NGS) analyses. Implement and maintain data workflows, preferably using Nextflow. Collaborate with platform data scientists and researchers to develop reproducible analytical pipelines. Assist in applying machine learning and AI methods to multi‑omics datasets. Use version control (comfortable on the usage of Git/GitHub) for collaborative development and code maintenance. Eager to document processes, communicate analytical results, and contribute to best practices in data science and management. Expectations of you Required skills and qualifications Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related field. Good level of Python and/or R . Hands‑on experience with Git and GitHub for collaborative development. Familiarity with workflow management languages (e.g., Nextflow). Experience working with metagenomics, and NGS datasets. Basic understanding of machine learning approaches and AI‑driven analyses in a biological context. Preferred Qualifications Experience working with cloud computing environments (preferably Azure). Prior exposure to multi‑omics integration or systems biology approaches. Interest in biosustainability, green transition research or related fields. Soft Skills Strong communicator Open‑minded and collaborative Flexible and solution‑oriented Committed, proactive, and eager to learn What we offer in return We offer an interesting and challenging job in an international atmosphere with the focus on research support, tooling development, teaching, innovation. Opportunity to contribute to impactful biosustainability research. Professional development and mentoring in data science and bioinformatics. Supportive, cross‑disciplinary team environment. Exposure to state‑of‑the‑art computational tools and cloud technologies. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). You are employed as an Academic Officer. The position is a 20 hour appointment and permanent. Starting date is 1st January 2026. The workplace is DTU Lyngby Campus. Exact address: Søltofts Plads, Building 220, 2800 Kgs. Lyngby Application and contact Please submit your online application no later than 16 December 2025 . Open the "Apply now" link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Alberto Palleja Caro (Team Lead at the Data Science Platform) on . 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. Data Science platform The DSP team aims to make data science more accessible and inclusive at DTU Biosustain and across the DTU Community. The platform follows a data‑centric approach that focuses on data infrastructure, processes, and outputs as ongoing, evolving products rather than one‑time projects. Each data product is designed as a multidisciplinary collaboration involving the entire data lifecycle and pursuing standardization and automation, and with data usage in mind. The DSP is based on four pillars: Support: focusing on providing researchers and core functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding researchers through different levels to become data‑aware and proficient in data science. Innovation: introducing researchers to new computational biology methods and technologies and modernize the data science landscape at the Centre. Tool development: building standard tools that can be shared across the Centre and open sourced for the entire community to use. The Novo Nordisk Foundation Bioresearch Institute for the Green Transision (BRIGHT) 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. 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. #J-18808-Ljbffr