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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 opportunities.
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, attend relevant webinars, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS and R skills. Be ready to discuss your past projects and how you've tackled statistical challenges. Practising common interview questions can also help you feel more confident.
✨Tip Number 3
Showcase your hands-on experience! When chatting with potential employers, highlight specific examples of your work in clinical trials, especially any programming support you've provided. This will set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
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 in biostatistical design and programming skills in SAS or R. We want to see how your background aligns with our needs!
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. We love seeing enthusiasm and a personal touch.
Showcase Relevant Experience: When detailing your experience, focus on specific projects where you've led statistical planning or programming tasks. We’re keen to see examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
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. Be prepared to discuss how you ensure compliance in your work and how you’ve contributed to maintaining quality standards in previous roles.
✨Collaborate Like a Pro
This role involves working closely with cross-functional teams, so highlight your teamwork skills. Share examples of how you've collaborated with programmers and data managers to deliver high-quality study outputs, and emphasise your ability to act as a primary statistical resource.
