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- Tasks: Lead statistical planning and analysis for clinical trials while programming in SAS/R.
- Company: Join a dynamic CRO with a focus on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on clinical trials and enhance your biostatistics skills.
- Qualifications: Experience in biostatistics and strong programming skills in SAS/R required.
- Other info: Work in a supportive team environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Senior Biostatistician I – (with Programming Support)
Location: (Remote – United Kingdom)
About the Role:
We are seeking a Senior Biostatistician to join an embedded team in a CRO. This role is primarily focused on biostatistical design, analysis, and reporting for clinical trials, while also requiring hands-on programming support (SAS/R) as the team integrates both functions.
You will play a key role in ensuring the statistical integrity and quality of clinical trial deliverables, working closely with cross-functional teams including programmers, data managers, and project managers. This is an ideal role for someone who wants to remain hands-on with biostatistics while also contributing to programming and reporting tasks.
Key Responsibilities:
- Lead statistical planning and analysis for clinical trials, including efficacy, safety, and exploratory endpoints.
- Develop and implement statistical analysis plans (SAPs) and contribute to study design discussions, including sample size calculations, randomization, and stratification strategies.
- Program and validate statistical outputs using SAS or R, including tables, listings, and figures (TLFs) for study reports and regulatory submissions.
- Ensure all statistical and programming deliverables comply with regulatory standards (ICH-GCP, FDA/EMA guidelines) and internal quality requirements.
- Collaborate closely with other biostatisticians and programmers within the same team to ensure consistent and high-quality study deliverables.
- Act as the primary statistical resource for assigned studies while providing support for programming tasks as needed.
- Support client engagement, providing statistical input and guidance on study deliverables, while reporting internally for professional development and support.
Requirements:
- Proven experience as a biostatistician in clinical trials, ideally at Senior I / early Senior II level.
- Strong programming skills in SAS and/or R, with the ability to produce and validate outputs independently.
- In-depth knowledge of clinical trial design, statistical methodology, and regulatory requirements.
- Experience in FSP or embedded client roles is advantageous.
- Self-motivated, detail-oriented, and comfortable working both independently and as part of a cross-functional, integrated statistics/programming team.
eireann.evans@meetlifesciences.com
Senior Biostatistician I employer: Meet Life Sciences
Contact Detail:
Meet Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Biostatistician I
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics field, especially those who work in CROs. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your programming projects in SAS or R. This will not only highlight your technical abilities but also demonstrate your hands-on experience in biostatistical analysis.
✨Tip Number 3
Ace the interview by preparing for common questions related to clinical trial design and statistical methodologies. We recommend practising with a friend or using mock interviews to boost your confidence.
✨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 Biostatistician I
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Biostatistician role. Highlight your experience with clinical trials, statistical methodologies, and programming skills in SAS or R. We want to see how your background aligns with what we're looking for!
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 you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your skills.
Showcase Your Programming Skills: Since this role involves hands-on programming support, make sure to highlight your proficiency in SAS and/or R. If you've worked on specific projects where you developed statistical outputs, share those details with us!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Meet Life Sciences
✨Know Your Stats
Brush up on your biostatistical knowledge and be ready to discuss specific methodologies you've used in past clinical trials. Be prepared to explain how you approach statistical planning and analysis, especially regarding efficacy and safety endpoints.
✨Show Off Your Programming Skills
Since programming support is a key part of this role, make sure you can demonstrate your proficiency in SAS or R. Bring examples of statistical outputs you've programmed and validated, and be ready to discuss any challenges you faced and how you overcame them.
✨Understand Regulatory Standards
Familiarise yourself with ICH-GCP, FDA, and EMA guidelines. During the interview, highlight your experience ensuring compliance with these standards in your previous roles, as this will show that you understand the importance of regulatory requirements in clinical trials.
✨Collaborate and Communicate
This role involves working closely with cross-functional teams, so be prepared to discuss your experience collaborating with programmers, data managers, and project managers. Share examples of how you’ve effectively communicated complex statistical concepts to non-statistical team members.
