Lead Data Scientist - Drug Discovery

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team.

Your new role
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

This is a permanent role that can be fully home based from anywhere in the UK.

What you'll need to succeed
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

What you'll get in return
You'll be joining a highly experienced team doing cutting-edge work to support drug discovery & development efforts at a wide range of pharmaceutical and biotech companies. As well as lots of opportunities to develop your skills and career, this role offers a good package and the chance to make a significant impact.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development

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