At a Glance
- Tasks: Lead biostatistical projects and collaborate with teams to analyse clinical trial data.
- Company: Join an award-winning CRO known for its supportive and innovative culture.
- Benefits: Enjoy a competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of healthcare.
- Why this job: Make a real impact in clinical research while working with cutting-edge statistical methods.
- Qualifications: Expertise in biostatistics, SAS programming, and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award‑winning, data‑focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry‑leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Responsibilities:
- Create randomization and kit schedules independently, collaborating with sponsor, randomization and drug supply management teams.
- Develop phase 1‑4 SAPs and make significant contributions to iSAPs; create SAP TLF shells for all phases and studies.
- Review ADaM and TLFs; work with client and programmers to resolve comments.
- Strong programming and logic skills (working knowledge of SAS).
- Apply drug development knowledge during production of high‑quality statistical analyses.
- Perform sample size calculations for a variety of scenarios and study designs.
- Lead projects (all phases and even a program of studies) and smaller submissions, manage client meetings, CRMs, and collaborate well with regulatory, PMs and sponsor.
- Strong knowledge of CDISC (especially SDTM and ADaM), understand guidance from FDA across different therapeutic areas.
- Understand the various tools that we work with.
- High‑level knowledge of drug development as it pertains to biostatistics.
- Provide support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician.
- Review the statistical section of a Sponsor’s protocol and ensure the appropriate statistical methods are proposed for the study design and objectives; provide valuable feedback and create the statistical section with minimal support.
- High proficiency with MS Office applications.
- Demonstrate an understanding of project‑management related tasks such as timelines, scope and resource requirements.
- Provide ICH guideline‑based input as applicable to statistics.
- Prepare and review statistical methods and results sections for the CSR with minimal support in collaboration with in‑house medical writers.
Requirements:
- College graduate in Biostatistics, Statistics, Mathematics or related field; master’s or PhD preferred, or many years of related experience required.
- Minimum of 5 years’ experience in Biostatistics or a similar field.
- Expert knowledge of scientific principles and concepts.
- Strong SAS programming (SAS base, SAS macro) experience.
- Thorough knowledge and understanding of clinical data.
- Strong experience with data and production of TLGs.
- Excellent scientific writing skills.
- Strong resource for biostatistics; willing to guide others in a variety of biostatistical techniques.
- Proficiency with MS Office applications.
- Hands‑on experience with clinical trial and pharmaceutical development preferred.
- Good communication skills and willingness to work with others to clearly understand needs and solve problems.
- Excellent problem‑solving skills.
- Good organizational and communication skills.
- Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
- Basic understanding of CROs and scientific & clinical data/terminology, and the drug development process.
Please consider your application unsuccessful if we do not reach out to you within 14 days of your submission.
Senior Biostatistician - Remote (UK) in Belfast employer: MMS
At MMS, we are dedicated to fostering a supportive and innovative work environment where your contributions as a Senior Biostatistician will truly make a difference. Our Great Place to Work certification reflects our commitment to employee satisfaction and retention, while our collaborative culture encourages professional growth and development. Join us in shaping the future of clinical research from the comfort of your home in the UK, and enjoy the unique advantage of being part of a globally recognised organisation that values your expertise and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Biostatistician - Remote (UK) in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics field, attend industry events, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in biostatistics. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any significant studies or analyses, be ready to discuss them in detail. We want to hear about your contributions and how they made an impact, so have those examples at the ready.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team at MMS.
We think you need these skills to ace Senior Biostatistician - Remote (UK) in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Biostatistician role. Highlight your relevant experience in biostatistics, programming skills, and any specific projects that align with the job description. We want to see how your background fits with what we do!
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 innovative team at MMS. Keep it concise but impactful – we love a good story!
Showcase Your Skills:Don’t forget to showcase your strong SAS programming skills and any experience with clinical trials. We’re looking for someone who can hit the ground running, so make sure we see your expertise right from the start!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at MMS
✨Know Your Stats
Brush up on your biostatistics knowledge, especially around drug development and statistical methods. Be ready to discuss your experience with SAS programming and how you've applied statistical principles in past projects.
✨Showcase Your Collaboration Skills
MMS values teamwork, so be prepared to share examples of how you've successfully collaborated with cross-functional teams. Highlight any experiences where you led projects or worked closely with clients and regulatory bodies.
✨Prepare for Technical Questions
Expect technical questions related to ADaM, TLFs, and CDISC standards. Review the guidelines and be ready to explain how you've implemented these in your previous roles. This will demonstrate your expertise and readiness for the position.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex statistical concepts in simple terms, as you may need to present findings to non-statistical stakeholders. Clear communication can set you apart from other candidates.