Senior Computational Biologist

Senior Computational Biologist – Animal Health & IT Data Science & AI – Boxmeer

• Formulate and lead computational biology projects, including defining and executing appropriate benchmarks and in silico experiments
• Own project delivery and quality assurance
• Select appropriate algorithms, infrastructure, and benchmarks to solve challenges
• Drive the development of high‑quality, well‑documented, and reusable software code to execute data science algorithms
• Communicate and collaborate with diverse stakeholders
• Understand the business context of the decisions to be supported
• Use R or Python to develop, implement, benchmark, and evaluate models, leveraging internal and public data sources
• Interpret results and communicate findings to business and R&D stakeholders
• Build and maintain knowledge of data sources, data quality, and metadata
• Recognize repeatable situations and recommend the appropriate level of analytics automation
• Promote a culture of modelling and analytics as a differentiator and competitive advantage, embedding analytical tools within business processes
• Stay up to date with cutting‑edge methods and share knowledge within the team and company

• PhD in Computer Science, Biomedicine, Molecular Biology, or related field; alternatively MSc with at least 6 years of R&D experience
• Deep understanding of biological processes
• Familiarity with cutting‑edge AI protein methods
• Expert‑level proficiency in R and/or Python
• Extensive knowledge in one or more of: wet lab techniques, bioinformatics, biology, structural biology, or machine learning
• Track record of delivering successful data science products
• Experience with version control systems such as Git and collaboration tools
• Experience with cloud computing or HPC
• Demonstrated communication and interpersonal skills, including the ability to deliver high‑level presentations to senior executives
• Strong analytical and problem‑solving skills, with the ability to work with incomplete or imperfect data and interpret and apply analytics results within a real business context
• Ability to work both independently and collaboratively within a globally dispersed team

• Animal Science, Bioinformatics, Biological Sciences, Biopharmaceutics, Business Data Analytics, Business Intelligence (BI), Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Git Version Control System, Immunochemistry, Machine Learning (ML), Microbiology, Software Development, Stakeholder Relationship Management, Structural Biology, Version Control, Waterfall Model, Wet Lab

We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development. Our benefits, including health, retirement and professional growth, are competitive and vary by location.