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- Tasks: Design and analyse clinical data using R and SAS for impactful medical research.
- Company: Leading medical technology company in North Waltham with a focus on innovation.
- Benefits: Health insurance, 401k plan with company match, and competitive salary.
- Why this job: Join a team making a difference in healthcare through data-driven insights.
- Qualifications: Bachelor’s degree in a quantitative field and experience in statistical programming.
- Other info: Exciting opportunities for career growth in a dynamic environment.
The predicted salary is between 72000 - 90000 £ per year.
A leading medical technology company in North Waltham is seeking a Senior Clinical Research Statistician responsible for the design and analysis of clinical data. The ideal candidate will have considerable experience in statistical programming using R, with responsibilities that include validating and analyzing data. A Bachelor’s degree in a quantitative field is required.
The company offers various benefits, including health insurance and a 401k plan with company match, along with a competitive salary ranging from $120K to $135K.
Hybrid Senior Clinical Biostatistician (R/SAS) in Cleethorpes employer: Getinge
Contact Detail:
Getinge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Clinical Biostatistician (R/SAS) in Cleethorpes
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical technology field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Prepare for interviews by brushing up on your R and SAS skills. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your statistical programming experience.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant clinical data analysis, make sure to highlight these in your discussions. We love seeing real-world applications of your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Hybrid Senior Clinical Biostatistician (R/SAS) in Cleethorpes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R and any relevant statistical programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical research and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Experience: When filling out your application, focus on your experience in designing and analysing clinical data. We’re looking for specific examples that demonstrate your expertise, so don’t hold back on the details!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Getinge
✨Know Your Stats
Brush up on your statistical programming skills, especially in R. Be prepared to discuss specific projects where you've used R for data analysis and validation. This will show your expertise and confidence in handling clinical data.
✨Understand the Company
Research the medical technology company thoroughly. Familiarise yourself with their products, values, and recent developments. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to biostatistics and clinical research. Practice explaining complex concepts in simple terms, as you may need to communicate findings to non-technical stakeholders. This will showcase your ability to bridge the gap between data and decision-making.
✨Showcase Your Team Spirit
Highlight your experience working in collaborative environments. Discuss how you've contributed to team projects and supported colleagues in achieving common goals. This is crucial, as the role likely involves working closely with other researchers and statisticians.
