Job description

Do you want a key role in taking our ML/AI-driven platform to the next level as part of a great team?

If you know how to develop and apply advanced deep learning in drug discovery and are eager to collaborate with a multidisciplinary team in the biotech industry, please read on. In Gubra we have developed our own ML/AI based peptide drug discovery platform called streaMLine. The platform has reduced drug discovery time by 50%. Now, we are ready to take the next leap forward. You will play a pivotal role in this quest while also contributing to exciting drug discovery projects.


When joining Gubra, you will be part of a team of 11 skilled and dedicated Data Scientists that creates results in an open and welcoming environment where it’s simply nice to be.


State-of-the-art platform development and exciting drug discovery projects

In this role, you will work on two tracks. The first track is a technology track with focus on StreaMLine, and we expect you to dedicate approx. 2/3 of your time to this. Your goal is to utilize the newest deep learning knowledge to increase the platforms capabilities in collaboration with your Data Scientist colleagues and with valuable input from your chemistry specialist colleagues.


The other track is within specific drug discovery projects with focus on treatments for chronic diseases. In these, you will work together with domain experts in medicinal chemistry, molecular pharmacology, physical chemistry, and a Project Manager. As part of this, you will be responsible for integrating high-throughput data into AI models to predict peptide properties.


Your primary tasks will be to:

  • Contribute to take our ML/AI based peptide drug discovery platform to the next level
  • Develop and maintain pipelines for analyzing and processing drug discovery data
  • Contribute as Data Scientist in drug discovery projects


A PhD degree or similar experience within advanced deep learning in drug discovery

In Gubra we believe that sharing knowledge is key to success. Therefore, you will be part of teams where we help each other to define research questions, design experiments, assess results, and validate model predictions. This calls for your collaboration skills and your willingness to share early stage ideas.


Additionally, your resume comprises:

  • A PhD degree or similar years of experience within advanced deep learning in drug discovery
  • Theoretical and applied knowledge in machine learning - from experiments to production-ready models
  • Experience in Pytorch or Tensorflow
  • Motivation for developing your skills within peptide pharmaceuticals
  • Motivation for working with MLOps


AI Technology – your new team

You will join 11 skilled Data Scientists at Gubra HQ in Hørsholm at the edge of Greater Copenhagen. The department focus is to develop advanced tools to support various aspects of drug discovery. This includes development of data infrastructure for lab automations, machine learning based approaches for design and analysis of drug discovery experiments, and development of AI models for molecule design.


We work in an informal and inclusive environment. We like to share knowledge and help each other and as mentioned in the intro: It’s simply nice to be here. We look forward to welcoming you to the team.


Contact and application

Please apply at our career website. The deadline is 16 June, 2024.


If you have any questions, you are very welcome to contact Department Manager, Casper Salinas at cgs@gubra.dk. If necessary, we will set up an additional call to ensure your understanding of the job and your many opportunities.


We look 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 reach the results we aim for. Our vision is to become leaders in the fight for 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 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 +220 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!

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