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- Tasks: Lead statistical activities for global clinical trials and collaborate with international teams.
- Company: Dynamic biostatistics firm focused on innovative clinical research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a vibrant team with excellent career advancement opportunities.
- Why this job: Make a real impact in clinical research while working with cutting-edge statistical methods.
- Qualifications: MSc in Statistics, expert knowledge in SAS and pharmacokinetics required.
The predicted salary is between 60000 - 80000 £ per year.
You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of biostatistics project lead.
In this role, you will:
- Act as a communication line for project teams, clients, vendors and internal team on statistical questions
- Conduct statistical analysis for clinical trials including interim analysis, final analysis, analysis for DSMBs/DMCs and PK analysis
- Develop and review study protocols, statistical analysis plans, analysis dataset specifications according to CDISC ADaM standard and other project‑specific documents
- Review statistical deliverables such as tables, figures, listings and analysis datasets
- Conduct departmental induction course and project‑specific training for statisticians and SAS programmers
- Prepare for and attend internal and external study audits pertinent to Statistics
- Participate in preparation of internal/external audits follow up
- Provide input to standard operating procedures and other Quality Systems Documents (QSDs) pertinent to activities of Biostatistics
- Liaise with DM on statistical questions related to data issues
- Participate in bid defense and in kick‑off meetings
- Lead teams of SAS programmers and/or statisticians on the project level
Qualifications:
- MSc in Statistics or equivalent
- Full working proficiency in English
- Expert knowledge and understanding of the statistical principles, concepts, methods, and standards used in clinical research
- Expert knowledge and understanding of the SAS programming
- Expert knowledge and understanding of CDISC ADaM standard
- Expert knowledge and understanding of pharmacokinetics principles, concepts, methods and standards used in clinical research, including the conduct of NCL and population PK analysis
- Expert knowledge and understanding of Phoenix WinNonlin and NLME
- Expert knowledge and understanding of relevant regulations and guidelines (e.g. FDA, EMA, ICH)
- Ability to apply a range of advanced statistical techniques in support of clinical research studies and to analyze, interpret, and draw conclusions from complex statistical information
- Ability to consult with clinical investigators, interpret research requirements, and determine statistical analysis strategies
- Strong presentation and communication skills
Principal Statistician (Pharmacokinetics) employer: Psi CRO Ag
Contact Detail:
Psi CRO Ag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Statistician (Pharmacokinetics)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pharmacokinetics and statistical analysis. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your work, including any relevant projects or analyses you've conducted. This will help you stand out and demonstrate your skills in a tangible way when you’re chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Principal Statistician (Pharmacokinetics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Statistician role. Highlight your experience with statistical analysis in clinical trials and any relevant projects you've led. We want to see how your skills match up 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 pharmacokinetics and how your expertise aligns with our needs. Don’t forget to mention your experience with SAS programming and CDISC ADaM standards.
Showcase Your Communication Skills: Since this role involves liaising with various teams, make sure to highlight your communication skills in your application. We love candidates who can clearly convey complex statistical concepts to different audiences!
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Psi CRO Ag
✨Know Your Stats Inside Out
Make sure you brush up on your statistical principles and methods, especially those relevant to pharmacokinetics. Be ready to discuss how you've applied these in past projects, as this will show your expertise and confidence.
✨Familiarise Yourself with CDISC ADaM Standards
Since the role requires knowledge of CDISC ADaM standards, take some time to review these guidelines. Prepare examples of how you've developed or reviewed study protocols and statistical analysis plans in line with these standards.
✨Prepare for Team Dynamics
This position involves liaising with various teams, so think about your past experiences working in collaborative environments. Be ready to share specific examples of how you've effectively communicated with statisticians, programmers, and data managers.
✨Showcase Your Presentation Skills
Strong presentation skills are crucial for this role. Practice explaining complex statistical concepts in a clear and engaging way. You might even want to prepare a mini-presentation on a relevant topic to demonstrate your ability during the interview.