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Lead data scientist - drug discovery

Hays
Lead data scientist
Posted: 14 November
Offer description

Your newpany 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:
1. Lead the development of original statistical models tailored toplex genomic data
2. Guide the integration of novel methods into pipelines
3. Ensure methodological transparency and reproducibility across all research outputs
4. Align scientific innovation with engineering and product development goals
5. Work on projects to support drug discovery & development projects for a variety of clients within the pharmaceutical and biotech space
6. 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
7. A PhD (or equivalent experience) in statistics, maths, physics, data science,puting, statistical genetics or a related field with a strong methodological focus
8. A track record of developing statistical models for genomic / biological research, preferably within a target identification or target validation setting
9. Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery
10. Advanced coding skills in a language such as R or python and experience with statisticalputing environments
11. Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc
12. Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP)
13. The ability tomunicateplex 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 biotechpanies. 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.

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