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 organization 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 organization 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 target identification or validation settings
- Proven track record of innovation in statistical methodology, evidenced by publications, tools, or project delivery
- Advanced coding skills in R or Python and experience with statistical computing environments
- Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomization, etc.
- Experience deploying methods in cloud infrastructures (AWS, Azure, GCP)
- The ability to communicate complex statistical ideas clearly
What you'll get in return
You'll join a highly experienced team doing cutting-edge work to support drug discovery & development efforts at a wide range of pharmaceutical and biotech companies. This role offers a competitive package, opportunities for skill development, and the chance to make a significant impact.
What you need to do now
If you're interested, click 'apply now' to submit your CV or call us now. If this role isn't quite right but you're exploring other opportunities, contact us for a confidential discussion about 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, Method
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