Interested in a career that matters
Join us as our new student assistant
In Microbe and Culture Research (MCR) we are strengthening our data and digitalization infrastructure and are looking for a student assistant who is excited about bioinformatics data science and building practical solutions for scientists. You will get hands-on experience working close to real R&D workflows where good data access and automation can make a measurable difference to how quickly we learn from experiments and deliver new biosolutions.
Welcome to the MCR Data Support Team
You will be part of our Data Support Team that is leading our digitalization efforts across the function. The MCR Data Support Team helps the organization by consulting on data-related problems improving data processes toward FAIR and automated data driving best practices and data strategy and supporting upskilling and a stronger data culture across Microbe and Culture Research. We collaborate closely with domain experts and we take pride in being approachable practical and focused on solutions that people actually use.
In this role youll make an impact by:
You will support the Data Support Team and scientists in Microbe and Culture Research with building tools and improving how we access and use scientific data. Concretely you will contribute to:
Developing Jupyter notebooks and lightweight apps/tools that help scientists explore transform and visualize data.
Creating or improving data pipelines and workflow automation to make data more accessible and reusable.
Solving programming tasks such as bug fixing small system improvements and prototype development.
Responding to requests via our issue trackers and helping prioritize/clarify requirements with stakeholders.
Collaborating directly with scientists to understand needs and help design simple robust technical solutions (APIs data access patterns notebook templates etc.).
To succeed you must hold:
You are currently studying (BSc/MSc) in bioinformatics data science computer science or a related field and are motivated to apply your skills to biological R&D problems.
Strong practical experience with Python (writing clean reusable code; using notebooks effectively).
Interest in learning internal scientific data systems and APIs and a curiosity for how data flows through real research workflows.
Basic understanding of database concepts; SQL is a plus.
You enjoy collaborating with end users able to translate a scientists question into a practical technical solution and communicate progress clearly.
You are structured and reliable: able to manage small tasks document what you build and follow through
Familiarity with Git simple web apps and workflow design is beneficial.
Application deadline: 13th March 2026
Contact details: Kristian Jensen Head of Computational Microbiology ()
Our purpose guides the way
In Novonesis we know that solutions rooted in biology can help solve humanitys biggest challenges. Since we began more than a century ago this has been our guide. Its how weve gotten so far. And its how well impact the future. Now more than ever the world needs change. And with biosolutions the possibilities for transformation are endless. If our purpose resonates with you we encourage you to apply.
Opportunities for everyone
We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.
We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds including ethnicity religion gender sexual orientation age disability or veteran status.
Explore other openings
If this position isnt the right fit you may still find other opportunities with us. Youre welcome to explore open roles or create a job agent to stay connected with future opportunities at Experience:
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