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MSD

Senior Computational Biologist

MSD

Senior Computational Biologist applying computational biology and data science at animal health company. Leading projects in a collaborative global team to solve real-world challenges.

Posted 7/6/2026full-timeBoxmeer • 🇳🇱 NetherlandsSeniorWebsite

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • 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 benchmark to best 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 both 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, placing high value on embedding analytical tools within business processes
  • Stay up to date with cutting-edge methods and share knowledge within the team and company.

Requirements

What you’ll need
  • PhD in Computer Science, Biomedicine, Molecular Biology, or related field. Alternative, 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 the following areas: 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 to interpret and apply analytics results within a real business context
  • Ability to work both independently and collaboratively within a globally dispersed team.

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Computational BiologyData Science AlgorithmsBenchmarkingWet Lab TechniquesBioinformaticsMachine LearningVersion Control SystemsAI Protein MethodsData QualityAnalytics Automation
Soft Skills
Communication SkillsInterpersonal SkillsCollaborationPresentation SkillsProblem-Solving