We are looking for a Developer to join our Software and AI Solutions department at Gubra. In this role, you will collaborate closely with other developers, data scientists, and scientific experts to automate and scale scientific computing.
Your Role
Together with the team, you will build and scale data analysis and machine learning pipelines. Example applications include high throughput 3D imaging, digital histopathology, and mass spectrometry.
Your primary tasks will be to:
- Developing backend systems using Python (FastAPI, PyTorch, etc.), Postgres, Docker Swarm, and GitHub Actions.
- Develop, apply, and advocate good software practices.
- Helping evolve our infrastructure to utilize more scalable solutions like Modal for compute and S3 for storage.
- Design, implement, and maintain data analysis applications for various scientific use cases.
- Contribute to our shared toolbox to enable our scientists to explore data and train ML models.
Your Profile
At Gubra, we believe that knowledge sharing is key to success. Therefore, you will be part of a team where collaboration and the willingness to share early-stage ideas are essential. We promise that you will learn from us, and we are looking forward to learning from you.
We welcome candidates with diverse backgrounds and experiences. Your qualifications could include:
- A few years of hands-on experience in software development.
- A master's or PhD degree in Computer Science, Engineering, or a related field - or equivalent practical experience.
- Proficiency in Python and a commitment to writing high quality code.
- Experience deploying and maintaining software in production.
Qualifications
You do not need to have all these qualifications, but we hope you are willing to learn, because you will use them actively in this position.
- Collaborating with scientists to build scientific software
- MLOps experience, including model monitoring, reproducibility, and data management
- Experience with cloud or hybrid infrastructure
About the Scientific Automation Platform Team
Scientific Automation Platform is a team within the Software and AI Solutions area at Gubra. The team focuses on applying and scaling ML and data science for scientific processes and research studies at Gubra. You will join skilled data scientists and developers at Gubra HQ in Hørsholm, on the edge of Greater Copenhagen.
We work in an informal and inclusive environment where knowledge sharing is the norm. We look forward to welcoming you to the team.
Contact and application
Please apply no later than October 15, 2025 by uploading your cover letter, resume (in English), and relevant diplomas on our website.
Interviews will be conducted on a rolling basis, and we reserve the right to close the posting before the deadline if a suitable candidate is found. We aim to hire our new Developer effective December 1, 2025.
If you have any questions about the position, you are very welcome to contact Department Manager, Anders Nielsen at ani@gubra.dk.
We are looking forward to receiving your application.
About Gubra
Gubra is an ambitious contract research organisation (CRO) and biotech company striving for excellence at all levels. We insist on doing things efficiently – and often differently - to achieve the results we aim for. Our vision is to become leaders in the fight for a healthier and more sustainable world. We do that by facilitating the discovery of new medicine, and by acting and inspiring others to fight the ongoing climate and biodiversity crises.
Gubra’s activities are focused on the early stages of drug development and are organised in two highly synergistic business areas: CRO Services and Discovery & Partnerships (D&P). We generate our revenue by performing research for life science companies as well as by partnering projects from our discovery and development pipeline.
Our therapeutic focus is within metabolic and fibrotic diseases, and we specialize in in vivo pharmacology, ex vivo assays, drug profiling, histology, stereology and whole brain and organ imaging. In addition, we offer a full palette of advanced transcriptomics. Our ML/AI-driven peptide drug discovery platform streaMLine enables us to rapidly develop a peptide hit into a non-clinical candidate ready for development. Through a constant focus on high quality, scientific excellence, speed, and solid teamwork we have established ourselves as a highly professional and competent partner in the market.
People are our greatest asset, and our team consists of +270 employees all located in Hørsholm, Denmark. The mix of people from different cultures and educational backgrounds combined with our entrepreneurial mindset have greatly impacted our working environment, which is characterized by entrepreneurial drive, scientific curiosity, and teamwork – we join forces!
