Lead Data Scientist - Drug Discovery

www.findapprenticeship.service.gov.uk - Jobboard; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading research organization in London seeks a Lead Data Scientist to drive the creation of statistical methodologies for genomic data. You will lead model development, ensure methodological transparency, and support drug discovery projects. The ideal candidate holds a PhD in a related field and has advanced coding skills in R or Python. This fully remote position offers significant career development opportunities and a competitive package.

Benefits

Career development opportunities

Competitive compensation package

Qualifications

• Proven track record of developing statistical models for genomic research.
• Experience deploying methods in cloud infrastructures.
• Ability to communicate complex statistical ideas clearly.

Responsibilities

• Lead the development of original statistical models for genomic data.
• Ensure methodological transparency across research outputs.
• Work on drug discovery projects for clients in pharmaceuticals.

Skills

Statistical modeling

Advanced R or Python coding

Statistical methodologies

Clear communication of complex ideas

Education

PhD in statistics, data science or related field

Tools

AWS

Azure

GCP

Job description

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, Method