At a Glance
- Tasks: Support oncology clinical trials by developing Statistical Analysis Plans and SAS programming.
- Company: Leading clinical research firm with a focus on innovative oncology solutions.
- Benefits: Competitive salary, hybrid working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to advancing clinical research.
- Why this job: Make a real impact in cancer research while working in a flexible environment.
- Qualifications: 1-3 years of experience in biostatistics and expertise in SAS programming.
The predicted salary is between 40000 - 50000 £ per year.
A leading clinical research firm is seeking a Biostatistician / Statistical Programmer to join their team supporting oncology clinical trials. The role involves developing Statistical Analysis Plans, SAS programming, and ensuring statistical deliverables meet regulatory standards.
The ideal candidate will have 1–3 years of relevant experience, expertise in SAS, and strong communication skills. This position offers a competitive salary and hybrid working options.
Oncology Biostatistician & SAS Programmer (Hybrid UK) employer: Kelly Science, Engineering, Technology & Telecom
Contact Detail:
Kelly Science, Engineering, Technology & Telecom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oncology Biostatistician & SAS Programmer (Hybrid UK)
✨Tip Number 1
Network like a pro! Reach out to professionals in the oncology and biostatistics fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS programming skills. Be ready to discuss your experience with Statistical Analysis Plans and how you've ensured compliance with regulatory standards.
✨Tip Number 3
Showcase your communication skills! During interviews, be clear and concise when explaining complex statistical concepts. This will demonstrate your ability to work effectively within a team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Oncology Biostatistician & SAS Programmer (Hybrid UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in biostatistics and SAS programming. We want to see how your skills align with the oncology clinical trials we support, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about oncology research and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Communication Skills: Since strong communication is key in this role, make sure to highlight any experiences where you’ve effectively communicated complex statistical concepts. We love seeing how you can bridge the gap between data and decision-making!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Kelly Science, Engineering, Technology & Telecom
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills before the interview. Be prepared to discuss specific projects where you've used SAS, and think about how you can demonstrate your expertise in developing Statistical Analysis Plans.
✨Understand Oncology Trials
Familiarise yourself with the basics of oncology clinical trials. Knowing the key phases, common challenges, and regulatory standards will show that you're not just a statistician but someone who understands the context of your work.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex statistical concepts in simple terms, as you may need to convey your findings to non-statistical stakeholders during the interview.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This could be about their current projects, team dynamics, or how they measure success in the role. It shows your genuine interest and helps you assess if the company is the right fit for you.