Experienced Statistician

Experienced Statistician

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead statistical projects and conduct impactful research in Life Science.
  • Company: Hobson Prior is a top life sciences recruiter connecting talent with global opportunities.
  • Benefits: Enjoy ownership of your work, advanced tools, and a supportive growth environment.
  • Why this job: Make a real difference in health research while specialising in your interests.
  • Qualifications: Strong statistical experience and a degree in a quantitative field are essential.
  • Other info: Postgraduate qualifications are valued but not mandatory; must have the right to work in London.

The predicted salary is between 28800 - 48000 £ per year.

Are you ready to make a groundbreaking impact in the world of Life Science?

Hobson Prior is seeking an Experienced Statistician to join a consultancy organization in London. This role offers the opportunity to lead statistical projects, work with advanced tools, and contribute to impactful research. You will have the chance to take ownership of your work while growing and specializing in areas that align with your interests and strengths.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities:

  • Lead projects involving statistical analysis, such as quality-of-life metrics, survival analysis, or evidence synthesis (e.g., meta-analyses, indirect comparisons).
  • Use tools like R for data analysis and standard office software for documentation and communication.
  • Take responsibility for your work from start to finish, ensuring high-quality outcomes.

Key Skills and Requirements:

  • Strong experience in applying and developing statistical methods in a professional setting, with a proven track record of delivering high-quality work.
  • Backgrounds in consulting, academia, industry, or a mix of sectors are welcome, with particular relevance given to life sciences or evidence-based research.
  • A degree (2:1 or higher) in a quantitative field such as mathematics, economics, engineering, or a scientific discipline.
  • Postgraduate qualifications (e.g., MSc or PhD) in statistics, health economics, or related areas are highly valued but not essential.

For more information, please contact Jack Gordon .

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page.

Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.

By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data –

Experienced Statistician employer: Hobson Prior

Hobson Prior is an exceptional employer that champions innovation and professional growth in the life sciences sector. Located in London, we offer a dynamic work culture where statisticians can lead impactful projects, utilise advanced analytical tools, and specialise in areas that resonate with their passions. Our commitment to employee development ensures that you will have ample opportunities to enhance your skills and advance your career while contributing to meaningful research.
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Contact Detail:

Hobson Prior Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Experienced Statistician

✨Tip Number 1

Network with professionals in the life sciences sector, especially those who work in statistical roles. Attend industry conferences or webinars to meet potential colleagues and learn about the latest trends in statistical analysis.

✨Tip Number 2

Familiarise yourself with the specific statistical tools mentioned in the job description, particularly R. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these tools.

✨Tip Number 3

Prepare to discuss your previous projects in detail during interviews. Highlight your experience in leading statistical analyses and how your contributions have positively impacted research outcomes.

✨Tip Number 4

Research Hobson Prior and their role in the life sciences recruitment space. Understanding their values and mission can help you tailor your approach and show genuine interest in working with them.

We think you need these skills to ace Experienced Statistician

Statistical Analysis
Data Analysis using R
Quality-of-Life Metrics
Survival Analysis
Evidence Synthesis
Meta-Analysis
Indirect Comparisons
Project Leadership
Attention to Detail
Communication Skills
Problem-Solving Skills
Consulting Experience
Academic Research
Life Sciences Knowledge
High-Quality Work Delivery

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Experienced Statistician position. Tailor your application to highlight your relevant experience in statistical analysis and any specific tools mentioned, like R.

Highlight Relevant Experience: In your CV and cover letter, emphasise your strong experience in applying and developing statistical methods. Provide examples of past projects, particularly those related to life sciences or evidence-based research, to demonstrate your expertise.

Showcase Your Skills: Make sure to showcase your skills in statistical analysis and project leadership. Mention any postgraduate qualifications if you have them, as well as your ability to deliver high-quality outcomes in a professional setting.

Craft a Compelling Cover Letter: Write a tailored cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the impact you hope to make in the field of Life Science. Be sure to connect your interests with the company's mission.

How to prepare for a job interview at Hobson Prior

✨Showcase Your Statistical Expertise

Be prepared to discuss your experience with statistical methods in detail. Highlight specific projects where you've applied these methods, especially in life sciences or evidence-based research, as this will demonstrate your capability and relevance to the role.

✨Familiarise Yourself with R

Since the role requires using R for data analysis, make sure you brush up on your skills with this tool. Be ready to discuss how you've used R in past projects, including any advanced techniques or packages that you've employed.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've led statistical projects from start to finish, ensuring high-quality outcomes, and be ready to explain your thought process.

✨Demonstrate Your Passion for Life Sciences

Convey your enthusiasm for the life sciences field during the interview. Discuss any relevant research or trends that excite you, and how you see your role contributing to impactful research within the industry.

Experienced Statistician
Hobson Prior
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