Owning and evolving existing digital solutions, balancing long‑term quality with new development
Improving and supporting data processes and digital solutions across our application research workflows
Building and maintaining web and data infrastructure components supporting scientific teams
Delivering scalable and reliable solutions using a mix of internal and external software components
Collaborating with digitalization teams across Novonesis to support strategic transformation goals
Developing tools enabling structured (meta) data capture and FAIR data practices

Requirements

Degree in Computer Science, Data Science, Engineering, Bioinformatics, or similar.
Solid, documented experience with Python programming
Strong understanding of programming principles, including software design and unit testing
Ability to work independently and take ownership in a research‑driven, evolving problem space
A collaborative mindset and enthusiasm for teamwork in a hybrid and cross-functional setting
Comfort working in an agile team environment
Experience improving or contributing to data science stacks (Python, R, databases, app development)
Proficiency with Git or other version control tools
Experience with statistical analysis or ML tools (R, Python, SAS JMP, etc.)
Background in lab automation or experience working in a scientific or development team environment

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRdatabasesapp developmentstatistical analysismachine learningunit testingsoftware designlab automationdata science stacks

Soft Skills

independenceownershipcollaborationteamworkagile environmententhusiasmproblem-solvingadaptabilitycommunicationcross-functional collaboration