Company

Cpl Life SciencesSee more

addressAddressCambridgeshire, England
type Form of workPermanent, full-time
salary Salary£62,000 - £64,400 per annum
CategoryAccounting & Finance

Job description

Senior Statistician

Salary: Up to £64,400 depending on experience and negotiable

Location: Cambridge

Hybrid

This is a new and exciting role within the Bioinformatics team based in Cambridge. As Senior Statistician, you’ll set the vision and lead our biological statistics strategy, helping to identify and implement quantitative approaches to address key biological questions.

You’ll bring a wealth of knowledge of biological statistics to impact on drug discovery projects and represent the department across a broad range of therapeutic projects and cross-site initiatives.

What will I be doing?

  • Provide deep expertise in biological statistics and its role in drug discovery.
  • Provide Scientific leadership across the department.
  • Work at the intersection between Biosciences, Molecular Sciences, and Chemistry & DMPK to deliver statistical insight across a range of challenging target classes, from initial target characterisation through to clinical dose prediction.
  • Communicate effectively, to influence multiple stakeholders and collaborate across projects and sites.
  • Promote scientific excellence, through external publication, presentations.
  • Play a pivotal role in training and developing colleagues, including through practical contributions from the bench.

What skills will I need?

  • PhD in statistics, mathematics, data science or equivalent experience.
  • Experience in biological statistics in a drug discovery environment.
  • Proven scientific leadership, including through matrix management.
  • Deep expertise in statistics and its role and application across drug discovery.
  • Experience in data analysis, including large and complex datasets (e.g. high-throughput screening).
  • Knowledge of Bayesian methods and statistical modelling, experimental design (including DOE).
  • Programming experience with tools such as R, Python.
  • Excellent communication skills, ability to describe complex science in an engaging and inclusive manner. Ability to influence multiple stakeholders and collaborate across projects and sites.
  • A passion for promotion of scientific excellence, through external publication, presentations.

If you are interested please apply or send your CV to

Refer code: 2985122. Cpl Life Sciences - The previous day - 2024-03-13 06:03

Cpl Life Sciences

Cambridgeshire, England
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