Senior Bioinformatician / Data Scientist

We are seeking a highly motivated Bioinformatician / Data Scientist to join our Clinical Science & Data Analytics team within the Clinical Development organisation. The successful candidate will work at the interface of data science and clinical science, integrating multi-omics, clinical, and real-world datasets to generate actionable insights. A key responsibility will be supporting the development of novel exploratory and pharmacodynamic (PD) endpoints through advanced analytics, literature mining, and real-world evidence (RWE).

What will you do?

• Integrate clinical, molecular, RWE, and functional data to enable comprehensive analyses.
• Conduct systematic literature mining to conceptualize and refine new clinical, translational, and PD endpoints.
• Analyse and interpret high-dimensional datasets (e.g., RNA-seq, proteomics, genomics, imaging-derived features).
• Integrate internal datasets with publicly available and external data sources.
• Collaborate closely with Biostatisticians, Translational Pharmacologists, Medical Directors and Clinical Biomarker Managers and IT managers to translate data into actionable insights.
• Generate clear visualizations, analyses, and reports for cross-functional teams, governance boards, and regulatory-facing documents.
• Support the creation of protocols, statistical analysis plans, and publications.
• Ensure data quality, reproducibility, documentation, and compliance with data governance standards.

Who are you?

• You have an advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Data Science, Biostatistics, or related field.
• You bring 10 years of experience in Bioinformatics/Data science within biotech or pharma, with a strong emphasis on small-molecule drug development.
• You have a strong experience working with omics datasets and high-throughput biological data.
• You are proficient with statistical tools and programming languages such as R, Python, or SAS.
• You have experience creating data visualizations using appropriate libraries or tools (e.g. ggplot2, Shiny, Spotfire, dashboards).
• You have a basic understanding of data security, access control, and regulatory requirements for biological and clinical data.
• You have strong analytical and problem-solving skills, with attention to detail.
• You demonstrate excellent communication skills and ability to work in fast-paced, multidisciplinary teams.
• Knowledge of machine learning methods applied to biological data is an advantage.
• Knowledge of fibrosis, immunology, inflammation, or related therapeutic areas is an advantage.
• Experience with imaging biomarkers is a plus.
• You communicate fluently in English; additional languages are a plus.