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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computational biology, utilizing R and Python for data science projects, while effectively communicating findings to stakeholders and ensuring high-quality project delivery. Possesses a strong understanding of biological processes and analytics automation to drive business value.

Highest-signal resume keywords

PhD In Computer ScienceExpert-Level Proficiency In RExpert-Level Proficiency In PythonExperience With Cloud ComputingStrong Analytical And Problem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational BiologyData Science AlgorithmsBenchmarkingWet Lab TechniquesBioinformaticsMachine LearningVersion Control SystemsAI Protein MethodsData QualityAnalytics Automation

Soft Skills

Communication SkillsInterpersonal SkillsCollaborationPresentation SkillsProblem-Solving

Tools & Technologies

GitCloud ComputingHPC

Industry Keywords

BiomedicineMolecular BiologyStructural BiologyR&D ExperienceData SourcesMetadata

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