Sanofi Research's Target, Disease and Systems Biology (TDSB) function is seeking a Head of Bioinformatics to accelerate scientific discovery across all stages of the drug development pipeline, specifically focusing on advancing target discovery, clinical development, and drug positioning to speed up drug discovery and development.
Requirements
- Experience with target biology-centric computational biology solutions
- Experience in integration of data, analytics and experimental approaches for selection of novel targets
- Experience in databases, tools and workflows for target identification, prioritization and positioning
- Proficiency in programming languages such as Python or R for data analysis.
- Familiarity with cloud platforms (AWS/GCP/Azure) for large-scale data processing.
- Knowledge of workflow management tools (e.g., CWL or Snakemake) and big data technologies (e.g., Spark/PySpark).
- Experience in contributing to large-scale target and disease biology centric consortiums and related resources and analytics platforms (Eg. OpenTargets, Illuminating Druggable Genome, Pharos) or commercial products (Qiagen, IPA etc.).
Responsibilities
- Global leader in bioinformatics with a strong strategic leadership with relevant therapeutic expertise and a track record of leading matrix and international teams.
- The ideal candidate is a bilingual in computational analyses and biology that can help to accelerate the translation computational discoveries to target validation using experimental approaches with a focus on target biology, drug repurposing, indication expansion
- Proven ability to design and scale bioinformatics infrastructure in a biopharma setting
- Deep expertise in target biology across Sanofi’s key therapeutic areas: immunology, inflammation, oncology, rare diseases, neuroscience, and ophthalmology.
- Proven experience in advanced data-driven research and integration including building data-rich solutions using multi-omics, imaging, NGS, and diverse patient datasets (e.g., DNA, RNA-seq, single-cell, proteomics, flow cytometry).
- Skilled in integrating biological, clinical, and healthcare data using advanced tools and workflows.
- Strong background in data modeling, data integration, pipeline development AI/ML, DataOps, ModelOps and cloud-native architectures to support Sanofi’s AI-first vision.
Other
- PhD in Immunology, Mathematics, Physics, Biomedical Engineering, Computational Biology or Bioinformatics with 10+ years of experience in a biotech, biopharmaceuticals or academia setting
- You have an AI-first mindset and technical excellence with strong scientific background
- Working knowledge of agile principles and experience presenting complex data to senior leadership.
- You are a champion of collaborative ecosystem building and leads collaborations with internal (e.g., Sanofi’s Data Office) and external partners (vendors, CROs, academia) to develop big data products like Genetic, Transcriptomic, and Proteomic Data Lakes.
- Experienced in mentoring and coaching scientists, data engineers, and ML engineers.
