Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Bioinformatician/Data Scientist working at the intersection of data science and clinical science in a biotech company. Integrating multi-omics, clinical, and real-world datasets for actionable insights.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- A unique opportunity to shape data science/analytics in an ambitious, innovation-driven biotech company.
- The chance to contribute directly to pioneering therapies addressing unmet medical needs.
- A collaborative, excellence-focused team environment with room for personal and professional growth.
- Flexible working arrangements tailored to your needs (role based in Antwerp).
- Competitive compensation and benefits.
- A fast-paced, agile, and empowering work environment.
Job title
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