Do you want major impact in a highly successful and growing biotech company?
If your background includes a PhD in biochemistry, bioinformatics, computational biology, or a related field, and you are looking for a job where your impact goes hand in hand with your development opportunities, you do not need to look any further.
When joining Gubra, you will be part of a rapidly growing and very successful biotech company. You will have the opportunity to become our primary expert in de novo design of peptide therapeutics using generative AI – in a very well-functioning team of ambitious and collaborative scientists working in an equally collaborative environment, where cross-organizational dialogue is part of the company DNA.
Computational peptide design and complex dataset analysis
Basically, your job is to use AI tools to design peptide-based therapeutics. You will do so by using computational models to design molecules that activate or inhibit disease causing targets. More specifically, you will propose novel peptides by applying generative deep learning methods such as RFdiffusion and ColabDesign, and structure prediction frameworks such as AlphaFold.
In addition to your focus on de novo design, you will be analyzing large experimental peptide datasets to propose design hypotheses for drug candidates as part of our pipeline programs. Across all of your tasks, you will contribute ideas and knowledge that can leverage the team’s total skill set. Approximately 50% of your time will be spent on computational design including your contribution to strategy development. The other half of your time, you spend on communicating your results and interacting with colleagues and other stakeholders.
Your primary tasks will be to:
- Drive de novo design efforts using AlphaFold, ColabDesign, RFdiffusion and related tools
- Translate biochemistry and structural insights into peptide design hypothesis
- Analyze large in-house generated experimental peptide datasets to propose optimization strategies for improving drug properties
- Develop and maintain Python-based pipelines and AI models for design and analysis of peptide data
PhD with research experience and experience with AlphaFold and similar tools
As our primary de novo expert, you must have the energy and overview to drive research independently. At the same time – since you will join a company culture founded on cross-organizational collaboration – you must thrive on close interactions with chemistry, preformulation, and molecular pharmacology teams to design, predict, and optimize the peptide drug candidates.
Related to the above, you will need two skill sets. One is the courage to challenge the existing, balanced by a holistic understanding that enables you to know when to take a step back and find the best compromise. The other is the communication skills to explain why your work is essential not only in specific projects but to Gubra as a company. Additionally, you can tick off the following:
- PhD in biochemistry, bioinformatics, computational biology, or a related field
- Experience from the pharma or biotech industry or in a senior role in academia
- Strong understanding of structural biology and biochemical mechanisms (structure–function relationships, binding, stability, and activity)
- Hands-on experience with AlphaFold and similar tools
- Experience with AI/ML in drug discovery
- Proficiency in Python
Your new team
Your new workplace will be Gubra’s headquarters located in the Folehave Forest in Hørsholm, Greater Copenhagen. Here, you will join five highly skilled and ambitious scientists in the Computational Drug Discovery department.
You can look forward to being part of a welcoming environment based on trust, helpfulness, and a shared desire to break new ground. We strongly believe that teamwork and knowledge sharing lead to better results and a more enjoyable workday. In conjunction with Gubra’s highly cross-organizational working method, we primarily work together on-site in Hørsholm.
Contact and application
Please apply at our website using the ”Apply” button. The deadline is 13 April 2026.
If you have any questions, you are very welcome to contact Director at Computational Drug Discovery Jens Christian Nielsen at jcn@gubra.dk.
We are looking forward to receiving your application.
About Gubra
Gubra is a disease-agnostic techbio company specialized in peptide-based drug discovery and preclinical contract research services striving for excellence at all levels. We insist on doing things efficiently – and often differently - to reach the results we aim for. Our vision is to become leaders in the path towards a more sustainable and healthier 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 main highly synergistic business areas: Biotech and CRO Services. 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 around 300 employees. 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!
