Lead Data Scientist - Drug Discovery

As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will:

• Lead the development of original statistical models tailored to complex genomic data
• Guide the integration of novel methods into pipelines
• Ensure methodological transparency and reproducibility across all research outputs
• Communicate the rationale and impact of new techniques to stakeholders and collaborators both internally and at clients
• Align scientific innovation with engineering and product development goals
• Work on projects to support drug discovery & development projects for a variety of clients within the pharmaceutical and biotech space
• Represent the organisation in academic and industry forums, showcasing methodological breakthroughs

• A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus
• A track record of developing statistical models for genomic / biological research, preferably within a target identification or target validation setting
• Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery
• Advanced coding skills in a language such as R or python and experience with statistical computing environments
• Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc
• Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP)
• The ability to communicate complex statistical ideas clearly