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- Tasks: Lead biological statistics in drug discovery, analyzing complex datasets and influencing stakeholders.
- Company: Join a mission-driven organization dedicated to beating cancer through innovative research.
- Benefits: Enjoy a collaborative culture, opportunities for publication, and the chance to make a real impact.
- Why this job: Be part of a bold team that values scientific excellence and inclusivity in tackling cancer.
- Qualifications: PhD in statistics or related field; expertise in biological statistics and programming skills required.
- Other info: Ideal for those passionate about science and making a difference in healthcare.
The predicted salary is between 43200 - 72000 £ per year.
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PhD in statistics, mathematics, data science or equivalent experience.
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Deep expertise in biological statistics and its role and application in a pre-clinical drug discovery environment.
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Proven scientific leadership, including through Matrix management.
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Experience in analysing a range of data generated during the discovery phase for example large and complex datasets (eg high-throughput compound screening), bespoke analysis of enzymology and pharmacology data.
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Knowledge of Bayesian methods and statistical modelling, experimental design (including DOE).
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Programming experience with tools such as R, Python.
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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.
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A passion for promotion of scientific excellence, through external publication, presentations.
Our organisation values are designed to guide all that we do.
Bold: Act with ambition, courage and determination
Credible: Act with rigour and professionalism
Human: Act to have a positive impact on people
Together: Act inclusively and collaboratively
We’re looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer.
Principal Scientist - Biological Statistics (Drug Discovery) employer: Cancer Research UK
Contact Detail:
Cancer Research UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Scientist - Biological Statistics (Drug Discovery)
✨Tip Number 1
Make sure to showcase your deep expertise in biological statistics during networking opportunities. Attend relevant conferences or seminars where you can meet professionals in the drug discovery field and discuss your experience with large datasets and statistical modeling.
✨Tip Number 2
Highlight your programming skills in R and Python by working on personal projects or contributing to open-source initiatives. This not only demonstrates your technical abilities but also shows your passion for continuous learning and improvement.
✨Tip Number 3
Engage with the scientific community through publications or presentations. Sharing your findings and insights can help you build credibility and establish connections with other experts in the field, which may lead to job opportunities.
✨Tip Number 4
Foster your communication skills by practicing how to explain complex scientific concepts in simple terms. This will be crucial when collaborating with stakeholders from various backgrounds and ensuring that your ideas are understood and valued.
We think you need these skills to ace Principal Scientist - Biological Statistics (Drug Discovery)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your PhD in statistics, mathematics, or data science, and detail your expertise in biological statistics. Include specific examples of your experience in pre-clinical drug discovery and how you've handled large datasets.
Showcase Leadership Skills: Demonstrate your proven scientific leadership by providing examples of your matrix management experience. Highlight instances where you influenced stakeholders and collaborated across projects.
Detail Technical Proficiencies: Clearly outline your programming experience with tools like R and Python. Mention any specific statistical methods or experimental designs you are familiar with, particularly Bayesian methods and design of experiments (DOE).
Communicate Your Passion: Express your passion for scientific excellence through external publications and presentations. Make sure to convey how you embody the organization's values of being bold, credible, human, and collaborative in your work.
How to prepare for a job interview at Cancer Research UK
✨Showcase Your Expertise
Be prepared to discuss your deep expertise in biological statistics and how it applies to pre-clinical drug discovery. Highlight specific examples from your past work that demonstrate your ability to analyze complex datasets and lead scientific initiatives.
✨Demonstrate Leadership Skills
Since the role requires proven scientific leadership, be ready to share experiences where you successfully managed teams or projects. Discuss your approach to matrix management and how you influenced stakeholders across different projects.
✨Communicate Complex Ideas Clearly
Excellent communication skills are crucial for this position. Practice explaining complex statistical concepts in a simple and engaging manner. Use analogies or real-world examples to make your points relatable.
✨Align with Organizational Values
Familiarize yourself with the organization's values: Bold, Credible, Human, and Together. Prepare to discuss how you embody these values in your work and how they align with your personal mission to contribute positively to the field of cancer research.
