At a Glance
- Tasks: Lead statistical analysis for clinical studies and engage with regulatory bodies.
- Company: Join an innovative leader in clinical services and software solutions for life sciences.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a real impact in clinical research while working with cutting-edge technology and ethical practices.
- Qualifications: 10+ years in biostatistics, MSc or PhD required, with strong SAS programming skills.
- Other info: Opportunity to mentor and lead a team of biostatisticians.
The predicted salary is between 54000 - 84000 £ per year.
My client, an emerging leader in Clinical services and software solutions for the life sciences industry, is looking for a Principal Biostatistician to join their team. With experience and expertise in a diverse range of therapeutic areas and a focus on innovative, technology-enabled solutions, they support clients to focus on their core strengths. For early phase studies through Phase III clinical trials, their experienced team delivers high-touch services and technology to ensure the safety of all stakeholders across the clinical research community with an emphasis on ethics, compliance, and innovation.
The Principal Biostatistician, Clinical Data Systems and Services should possess robust statistical expertise, providing comprehensive support and analysis for clinical studies. Skilled in study design, reporting, and regulatory engagement, including FDA and EMEA communications. Experienced with CDISC standards, SAS proficiency, and DMC/DSMB support. Actively engage with clients and support sales through expert statistical solutions and SOP development.
ESSENTIAL DUTIES AND RESPONSIBILITIES- Possess a strong understanding of statistical principles and demonstrate strong statistical skills.
- Provide comprehensive statistical support throughout clinical studies.
- Conduct statistical analyses of clinical data and interpret the results, focusing on the efficiency and safety of drug molecules or study goals.
- Experienced in calculating sample sizes, developing concepts and protocols for studies, creating Statistical Analysis Plans (SAP), and preparing clinical study reports, including integrated summaries for regulatory submissions.
- Engage with regulatory bodies such as the FDA and EMEA, preparing statistical documentation and effectively communicating statistical plans and results in professional forums.
- Provide support for Data Monitoring Committees/Data Safety Monitoring Boards (DMC/DSMB), including charter development, SAP, and mock Tables, Listings, and Figures (TLFs) for DSMB support.
- Solid understanding and implementation of Clinical Data Interchange Standards Consortium (CDISC) requirements for regulatory submissions, including experience with Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) specifications generation and quality control of datasets.
- Extensive hands-on experience in statistical analysis using SAS, including creating mock shells for tables, listings, and figures (TLFs), and validating TLFs for New Drug Applications (NDA) and Biologics License Applications (BLA) submissions.
- Actively engage with clients to understand their statistical and analytical needs, providing expert advice and solutions.
- Support the sales cycle by contributing to proposals, presentations, and discussions that showcase our statistical capabilities and how they meet client requirements.
- Responsible for the creation and updating of Standard Operating Procedures (SOPs) related to statistical processes and regulatory submissions.
- 10+ years of experience as Biostatistician and working in a CRO/Pharma/Biotech company.
- 3+ years of experience in leading a team of biostatisticians and statistical programmers and working in a CRO/Pharma/Biotech company.
- MSc or PhD in Biostatistics or Statistics.
- Strong written and verbal communications skills, including proficiency in the English language with the ability to explain complex statistical concepts to non-statisticians.
- Proficient in statistical programming languages such as SAS, R, or Python.
- Proficient in BASE, STAT, MACRO and GRAPH and understanding of database structures, TLFs proficiency.
- Capable of directing and promoting teamwork in a multi-disciplinary team setting.
- Strong knowledge of regulatory guidelines and statistical methodology related to clinical development.
- Excellent written and verbal communications.
- Coach/mentor new team members to support efficient and quick onboarding.
- Cross functional collaboration & Stakeholder management.
- Strong knowledge of ICH guidelines.
Principle Biostatistician employer: AL Solutions
Contact Detail:
AL Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle Biostatistician
✨Tip Number 1
Network with professionals in the clinical research and biostatistics fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about job openings that may not be advertised widely.
✨Tip Number 2
Showcase your expertise in SAS and CDISC standards through practical examples during interviews. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Familiarise yourself with the latest regulatory guidelines from the FDA and EMEA. Being able to discuss recent changes or trends in these regulations can set you apart as a knowledgeable candidate who is up-to-date with industry standards.
✨Tip Number 4
Prepare to engage in discussions about statistical methodologies and their applications in clinical trials. This will not only show your depth of knowledge but also your ability to communicate complex concepts clearly to non-statisticians, which is crucial for the role.
We think you need these skills to ace Principle Biostatistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in biostatistics, particularly in clinical trials. Emphasise your expertise with CDISC standards, SAS proficiency, and any leadership roles you've held in previous positions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for biostatistics and the life sciences industry. Mention specific projects or experiences that align with the job description, such as your work with regulatory bodies like the FDA and EMEA.
Showcase Your Statistical Skills: Provide examples of your statistical analyses and how they contributed to the success of clinical studies. Highlight your experience in creating Statistical Analysis Plans (SAP) and preparing clinical study reports.
Prepare for Potential Questions: Anticipate questions related to your experience with statistical programming languages and your understanding of regulatory guidelines. Be ready to discuss how you can contribute to the team and support clients effectively.
How to prepare for a job interview at AL Solutions
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical principles and methodologies. Highlight specific projects where you applied your skills in study design, sample size calculations, and statistical analysis plans. This will demonstrate your robust understanding of the role.
✨Familiarise Yourself with Regulatory Standards
Since the position involves engagement with regulatory bodies like the FDA and EMEA, brush up on relevant guidelines and standards such as CDISC. Be ready to discuss how you've navigated these in past roles, particularly in relation to submissions and compliance.
✨Prepare for Client Engagement Scenarios
The role requires active client engagement, so think of examples where you've successfully communicated complex statistical concepts to non-statisticians. Prepare to discuss how you can support sales through expert statistical solutions and proposals.
✨Demonstrate Leadership and Teamwork Skills
With a requirement for leading teams of biostatisticians, be ready to share your experiences in mentoring and coaching. Discuss how you've promoted teamwork in multi-disciplinary settings and how you can contribute to a collaborative environment.