IPA (ImmunoPrecise Antibodies) is a Contract Research Organization (CRO) with end-to-end technology solutions empowering clients in the discovery and development of antibody therapeutics and diagnostics. We serve our partners through a multi-national, integrated network of facilities in North America and Europe. This enables us to offer a comprehensive range of antibody discovery and development services including, for example, custom antibody generation, in silico analysis, antibody characterization, engineering, manufacturing, and humanization. Located in North America and Europe, IPA serves many of the world’s top biotech and pharmaceutical companies in the common mission of conquering life-threatening diseases.
Job description

At BioStrand, data engineers provide architecture, design and implementation our cloud-based platform technology. This means you become part of a multi- disciplinary team with very broad responsibilities and skills. You will work in an environment where your passion for IT is shared, and you make a meaningful contribution to science and society. You have an active role in the development and deployment of new in silico predictive models for antibody discovery.

Key responsibilities shall include:

We are not big believers in putting a label on everyone, but skills, and competences in the team cover cloud architecture, security & IAM, information management, data engineering (data streaming, lambda/kappa architectures, data batching), software engineering, DevOps & CI/CD, and many others.

Our scalable SaaS platform runs on AWS and is optimized to process high throughputs of data and support computationally heavy algorithms and AI. It is set up to allow fast innovation by our Data Scientist Team while boasting a fast cycle of early developments to production-grade services. Our Front-End Team wraps up all these goodies into an enjoyable, user-friendly user experience for our customers.


Experience with: 

  • Supporting cloud-based / SaaS software and you are familiar with AWS 
  • Application lifecycle management, continuous integration and necessary tools (Git, Github Actions, Terraform, ...)  
  • Programming languages Python or Go(Lang), 
  • Software engineering and software design (experience with micro-services and containerization) 
  • Working knowledge of networking and security best practices 
  • Data science workflows is considered a plus, 
  • Managing big data, graph technology and indexing optimization techniques is a plus, 
  • Any experience with SCRUM or Agile working is considered a plus (we use the Atlassian Stack) 
  • You have good written and oral communication skills in English
  • It is important that you are agile in planning and organizing your work. You are an excellent team player and you feel comfortable in a fast-paced cross-functional environment.