At a Glance
- Tasks: Lead projects and solve complex data challenges using statistics.
- Company: Hobson Prior is a top life sciences recruiter connecting talent with global opportunities.
- Benefits: Gain valuable experience in a dynamic environment with mentorship opportunities.
- Other info: Must have the right to work in London; apply now to join an exciting team!
- Why this job: Make a real impact in health assessments while working with diverse teams.
- Qualifications: Degree in Statistics or similar, with relevant experience and strong analytical skills.
The predicted salary is between 43200 - 72000 £ per year.
Ready to accelerate your career? Hobson Prior is seeking a Senior Statistician to join our client's team in London. This role involves working on complex data challenges and leading projects to ensure high-quality outcomes. You will be instrumental in supporting Health Technology Assessment (HTA) submissions and providing expert statistical advice.
Please note that to be considered for this role you must have the right to work in this location.
Responsibilities:
- Develop new ways to solve data problems using statistics.
- Lead projects, ensuring they meet regulations and deliver excellent results.
- Analyze clinical trial data to help with health assessments.
- Offer expert advice on statistics to teams and clients.
- Work with data from studies and real-world evidence.
- Help with literature reviews by extracting and analyzing data.
- Check the quality of data sources for decision-making.
- Mentor and guide junior team members.
- Contribute to training, improving processes, and business growth.
Key Skills and Requirements:
- Passionate about statistics.
- Degree in Statistics or similar, with relevant experience.
- Knowledge of statistical techniques for health assessments.
- Familiar with regulatory guidelines and standards.
- Understanding of drug development processes.
- Skilled in using statistical software like SAS or R.
- Strong analytical skills and attention to detail.
- Self-motivated, eager to learn, and adaptable.
- Excellent teamwork and communication skills.
- Comfortable in diverse environments.
- Proficient in English.
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.
Senior Statistician employer: Hobson Prior
Hobson Prior is an exceptional employer dedicated to advancing pharmaceutical innovation while fostering a supportive and dynamic work culture. As an Applications Product Specialist, you will enjoy the flexibility of remote work with opportunities for professional growth, all while making a meaningful impact in the lives of patients across Scotland and the North of England. With a focus on employee development and a commitment to work-life balance, Hobson Prior stands out as a rewarding place to build your career in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Statistician
✨Tip Number 1
Network with professionals in the health technology assessment field. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends in statistics and data analysis.
✨Tip Number 2
Familiarise yourself with the specific statistical software mentioned in the job description, such as SAS or 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 experience with clinical trial data and health assessments during interviews. Be ready to share specific examples of how you've solved complex data problems and contributed to successful project outcomes.
✨Tip Number 4
Showcase your mentoring abilities by highlighting any experience you have in guiding junior team members. This will demonstrate your leadership skills and your ability to contribute to team growth, which is crucial for this role.
We think you need these skills to ace Senior Statistician
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in statistics, particularly in health assessments and clinical trials. Emphasise your familiarity with statistical software like SAS or R, and any relevant projects you've led.
Craft a Compelling Cover Letter:In your cover letter, express your passion for statistics and how it drives your work. Mention specific examples of how you've solved complex data problems and contributed to successful projects in the past.
Showcase Relevant Skills:Clearly outline your analytical skills and attention to detail in your application. Discuss your understanding of regulatory guidelines and drug development processes, as these are crucial for the role.
Prepare for Potential Questions:Think about how you would answer questions related to your experience with HTA submissions and mentoring junior team members. Be ready to discuss your approach to teamwork and communication in diverse environments.
How to prepare for a job interview at Hobson Prior
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical techniques, especially those relevant to health assessments. Highlight specific projects where you successfully applied these skills, and be ready to explain your thought process in solving complex data challenges.
✨Demonstrate Leadership Skills
Since the role involves leading projects, share examples of how you've led teams or initiatives in the past. Discuss your approach to mentoring junior team members and how you ensure that projects meet regulatory standards while delivering excellent results.
✨Familiarise Yourself with Regulatory Guidelines
Understand the key regulatory guidelines and standards related to health technology assessments. Be ready to discuss how you have navigated these regulations in previous roles and how you can apply this knowledge to support HTA submissions.
✨Prepare for Technical Questions
Expect technical questions related to statistical software like SAS or R. Brush up on your skills and be ready to demonstrate your proficiency. You might also be asked to analyse a sample dataset, so practice explaining your analytical process clearly.
