Statistician

Statistician

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

  • Tasks: Collaborate on research to enhance cardiovascular health through data analysis and statistical methods.
  • Company: Join Hobson Prior, a vibrant team dedicated to advancing health research.
  • Benefits: Enjoy a permanent position with opportunities for professional growth and collaboration.
  • Why this job: Make a real impact in health research while developing your statistical skills in a supportive environment.
  • Qualifications: Degree in statistics or epidemiology; strong stats knowledge; coding experience in SAS, R, or Python.
  • Other info: Must have the right to work in this location; apply now to join our mission!

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

Hobson Prior is seeking a Statistician to join our client’s vibrant team on a permanent basis. In this role, you will collaborate with various professionals to support research aimed at enhancing cardiovascular health. You will analyze data and apply statistical methods to gain valuable insights. This position requires a solid understanding of statistics and a keen interest in using data to advance health research.

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

Responsibilities:

  1. Work with teams on current research projects and help design new studies.
  2. Use statistical methods to analyze data related to heart health.
  3. Assist in planning and conducting experiments or studies.
  4. Participate in a program that teaches clinicians about research methods.
  5. Develop and maintain statistical models for research.
  6. Prepare and clean data for analysis.
  7. Use statistical software, preferably SAS, for data analysis and visualization.
  8. Create reports and presentations to explain findings to non-experts.
  9. Keep up with new trends and methods in statistics.
  10. Support the use of new data sources and improve data analysis techniques.

Key Skills and Requirements:

  1. A degree in a relevant field like statistics or epidemiology.
  2. Strong understanding of statistical concepts.
  3. Experience with statistical coding, ideally in SAS, but R or Python is also acceptable.
  4. Good communication skills.
  5. Experience in publishing research in areas like statistics or clinical research.
  6. Ability to work with large health data sets to find patterns that improve health outcomes.

For more information, please contact Jack Gordon .

Apply now:

If you are interested in learning more or applying to this exciting opportunity then please click ‘Apply’ and upload a copy of your CV.

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Statistician employer: Hobson Prior International Ltd

At Hobson Prior, we pride ourselves on being an exceptional employer, offering a dynamic work environment where collaboration and innovation thrive. Our commitment to employee growth is evident through ongoing training programs and opportunities to engage in impactful research that enhances cardiovascular health. Join us in our vibrant location, where your contributions will not only advance your career but also make a meaningful difference in the lives of others.
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Contact Detail:

Hobson Prior International Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Statistician

✨Tip Number 1

Make sure to highlight your experience with statistical software, especially SAS, in your conversations. If you have worked with R or Python, mention those as well, but emphasize your proficiency in SAS since it's preferred for this role.

✨Tip Number 2

Familiarize yourself with current trends in cardiovascular health research. Being able to discuss recent studies or advancements in the field during your interactions will show your genuine interest and commitment to the role.

✨Tip Number 3

Prepare to discuss specific examples of how you've used statistical methods to analyze data in past projects. This will demonstrate your practical experience and ability to apply your knowledge effectively.

✨Tip Number 4

Engage with professionals in the field through networking events or online forums. Building connections can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.

We think you need these skills to ace Statistician

Statistical Analysis
Data Visualization
SAS Programming
R Programming
Python Programming
Statistical Modeling
Data Cleaning
Research Methodology
Communication Skills
Collaboration
Problem-Solving Skills
Epidemiology Knowledge
Experience with Large Data Sets
Report Writing
Trend Analysis

Some tips for your application 🫡

Understand the Role: Make sure you fully understand the responsibilities and requirements of the Statistician position. Familiarize yourself with the key skills mentioned in the job description, such as statistical methods, data analysis, and experience with software like SAS.

Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your background in statistics, any experience with health data sets, and your proficiency in statistical software.

Craft a Strong Cover Letter: Write a compelling cover letter that explains your interest in the role and how your skills can contribute to enhancing cardiovascular health research. Mention specific projects or experiences that demonstrate your expertise in statistics and data analysis.

Highlight Communication Skills: Since the role involves explaining findings to non-experts, make sure to showcase your communication skills in your application. Provide examples of how you've effectively communicated complex statistical concepts in the past.

How to prepare for a job interview at Hobson Prior International Ltd

✨Showcase Your Statistical Knowledge

Be prepared to discuss your understanding of statistical concepts and methods. Highlight any relevant coursework or projects that demonstrate your expertise, especially in areas related to cardiovascular health.

✨Demonstrate Software Proficiency

Since experience with statistical software like SAS is crucial, be ready to talk about your coding skills. If you have experience with R or Python, mention specific projects where you utilized these tools for data analysis.

✨Communicate Clearly

As you'll need to explain complex findings to non-experts, practice articulating your thoughts clearly and concisely. Prepare examples of how you've successfully communicated research results in the past.

✨Stay Updated on Trends

Show your enthusiasm for the field by discussing recent trends or advancements in statistics and health research. This demonstrates your commitment to continuous learning and improvement in your work.

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