Data Scientist

Overview

In this role you help scale and apply advanced genomics analytics to drug discovery and disease understanding. You will work within a cross-disciplinary team of genetics, data science, and software engineering to process, QC, and analyze diverse genomic data types. You’ll develop robust statistical and machine learning methods and contribute to production-ready software tools. The role supports cutting-edge research that translates genomic insights into safer, more effective targets and preventive health insights.

Pay / Benefits

• Competitive salary
• Clear career path
• Continuous learning
• Private health insurance
• Pension scheme
• Hybrid working

Responsibilities

• Identify and integrate new data types into the analytics platform for disease mechanism insights
• Develop production-quality code for data processing, transformation and quality control
• Apply and validate statistical and machine learning methods with a focus on robustness and reproducibility
• Collaborate with cross-disciplinary teams to interpret genomic data and drive drug target discovery
• Contribute to internal and external publications and presentations
• Keep up-to-date with innovations in genomics, functional genomics, and statistical genetics
• Lead data integration initiatives and, for IC3 level, coordinate multi-source functional genomics projects

Key requirements

• Strong knowledge of human genetics and functional or clinical genomics
• Experience analyzing large-scale biological datasets using statistical and ML methods
• Proficient coding in Python and/or R with good software development practices
• Experience processing data from functional genomics, molecular and expression atlases, genomic annotations, and curated resources
• Experience running tools/workflows in scalable systems (Linux HPC or cloud)
• Experience with version control and CI/CD
• Experience working in remote/cloud environments (e.g., AWS)
• PhD or postgraduate degree in relevant field

• Collaborative and cross-disciplinary teamwork
• Strong communication and presentation abilities
• Proactive problem solving and attention to reproducibility
• Python
• R
• machine learning

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