Backend Python Developer

Background

The perfect candidate:
We are looking for someone with a Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Bioinformatics, or equivalent professional experience. The ideal candidate has 5+ years of Python programming, 3+ years of REST API design experience, and excellent English communication skills. The perfect candidate is proactive, analytical, highly adaptable, and thrive in cross‑functional teams, quickly learning new technologies to tackle complex technical challenges.

• Provide agile software development services for the “Target Evaluator” project according to the project plan.
• Provide technical consulting services to support the project team.
• Develop and implement robust backend functionalities that meet defined business needs.
• Design and implement APIs for the "Target Evaluator".
• Integrate with other applications, working out technical details independently with other teams.
• Research and apply new data processing and analysis techniques.
• Improve quality through performance evaluation, implementation of testing strategies, and tooling.

• Bachelor/Master degree in a relevant field such as Computer Science, Computer Engineering, Mathematical Engineering, Information Systems, or Bioinformatics is preferred. Candidates with extensive professional experience in the field can also be considered.
• Python programming (5+ years)
• Experience in REST API design (3+ years)
• Some experience in ML engineering in e.g. life sciences
• Experience in CI/CD using Git Lab
• Experience in Git Ops
• Experience in Kubernetes for hosting of services
• Experience in implementing user interfaces
• Working in HPC environments
• Knowledge of LLMs and LLM-based multi agent frameworks
• Excellent communication skills in fluent English, both written and verbal
• Strong collaborative approach and a desire to work effectively within a cross‑functional team environment.
• Proactive and analytical mindset for identifying, troubleshooting, and resolving complex technical issues.
• High adaptability and a commitment to quickly learning new technologies and methodologies to meet evolving project needs and priorities.