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- Tasks: Lead clinical analyses and apply your statistical expertise in exciting trials.
- Company: Join a leading pharmaceutical company with a strong focus on innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a commitment to regulatory compliance.
- Why this job: Make a real impact in healthcare by ensuring scientific rigor in clinical trials.
- Qualifications: Master's degree in Statistics/Biostatistics and 3 years' experience in clinical trials.
The predicted salary is between 60000 - 80000 £ per year.
A leading pharmaceutical company in Welwyn is seeking a Senior Statistician to join its Biostatistics team. In this role, you will apply your statistical expertise in the design, conduct, and analysis of clinical trials, ensuring regulatory compliance and scientific rigor.
A minimum of a master's degree in Statistics or Biostatistics, along with 3 years' experience in clinical trials, is required. Proficiency in SAS and/or R is essential. This position will require excellent problem-solving and communication skills.
Senior Statistician — Lead Clinical Analyses (Flexible) employer: Roche
Contact Detail:
Roche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistician — Lead Clinical Analyses (Flexible)
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical industry, especially those working in biostatistics. LinkedIn is a great platform for this – connect, engage, and don’t be shy to ask for informational interviews.
✨Tip Number 2
Prepare for your interviews by brushing up on your SAS and R skills. We all know that technical questions can pop up, so practice coding problems and statistical concepts relevant to clinical trials to show off your expertise.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples from your past experience where you tackled complex statistical challenges. This will demonstrate your ability to handle the demands of the role effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Statistician — Lead Clinical Analyses (Flexible)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in clinical trials and your proficiency in SAS and/or R. We want to see how your skills align with the role, so don’t be shy about showcasing your statistical expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about biostatistics and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and solve problems effectively, especially in the context of clinical trials.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Roche
✨Know Your Stats
Brush up on your statistical knowledge, especially in the context of clinical trials. Be prepared to discuss specific methodologies you've used and how they contributed to successful outcomes in past projects.
✨SAS and R Proficiency
Make sure you can demonstrate your skills in SAS and/or R during the interview. Consider preparing a few examples of how you've used these tools to analyse data or solve problems in previous roles.
✨Problem-Solving Scenarios
Expect to face problem-solving questions that assess your analytical thinking. Practice articulating your thought process clearly, as this will showcase your ability to tackle challenges effectively.
✨Communication is Key
Since excellent communication skills are crucial for this role, think about how you can convey complex statistical concepts in simple terms. Prepare to share examples of how you've successfully communicated findings to non-statistical stakeholders.