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Salary4,000 professionals, 0 days wasted, 1 incredible purpose. Together, we are beating cancer.
Principal Scientist, Biological Statistics (Drug Discovery)
Salary: Starting £57,400 - £64,400 depending on experience and negotiable
Department: Research and Innovation
Reports to: Principal Bioinformatician
Contract Type / Hours: Permanent / Full time 35 hours per week (Other flexible-working requests can also be considered)
Location: Babraham Research Campus, Cambridge (we would expect you to be in the office a minimum of 3 days per week).
Application Deadline: 01 April 2024
At Cancer Research UK, we exist to beat cancer.
We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we we're looking for someone talented, someone determined, someone like you.
This is a new and exciting role within our Bioinformatics team based in Cambridge. In this role, 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.
What will I gain?
Each and every one of our employees contributes to our progress and is supporting our work to beat cancer. We think that's impressive.
In return, we make sure you are supported by a generous benefits package, a wide range of career and personal development opportunities and high-quality tools, policies and processes to enable you to do your job well.
Our benefits package includes a substantial retirement plan, a generous and flexible leave allowance, discounts on anything from travel to technology, gym membership, and much more.
We review pay annually and aim to recognise individual performance and achievements.
We don't forget people have lives outside of work too and so we actively encourage a flexible working culture.
Our work - from funding cutting-edge research to developing public policy - will change the world. It's exciting to be part of our team.
How do I apply?
We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you quickly, fairly and objectively.
