At a Glance
- Tasks: Lead the design and analysis of clinical trials, ensuring data-driven decisions for new medicines.
- Company: Join GSK, a leader in healthcare innovation, dedicated to transforming patient health globally.
- Benefits: Enjoy hybrid work options, competitive salary, bonuses, healthcare programs, and a pension plan.
- Why this job: Be part of a dynamic team using innovative statistical methods to impact global health positively.
- Qualifications: MS in statistics required; experience in clinical trials and proficiency in R or SAS preferred.
- Other info: Applications close on January 10, 2025. Embrace an inclusive culture at GSK.
The predicted salary is between 48000 - 84000 £ per year.
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Principal Statistician within Clinical Trials
Site Name: UK – London – New Oxford Street
Posted Date: Dec 20 2024
Please note this position will follow GSK’s standard Performance with Choice hybrid work model, which includes 2-3 days onsite at either our London or Stevenage office.
Clinical Statisticians are highly prized and urgently needed at GSK to grow an industry-leading team to ensure high quality quantitative reasoning is at the heart of every project in the portfolio. Our role is essential to ensure we maximise the use of every single data point available to efficiently determine translational strategies that are the foundation of our end-to-end clinical development plans. We need exceptionally talented and committed Statisticians like you to apply your statistical skills and innovative statistical methodology to drive key contributions to the development of new medicines.
The Early Development Statistics (EDS) group is seeking an exceptional Principal Statistician to strategically plan and execute the full lifecycle of clinical trials, from design through to the reporting of Phase 1 and PoC studies. This role involves working within a cross-functional team to draft clinical trial protocols, serve as the statistical representative during its presentation at the Protocol Review Board, and develop Statistical Analysis and Randomisation plans. It also encompasses ongoing study management, reporting, and close-out activities. The EDS group supports all therapeutic areas within the Respiratory and Immunology Research Unit, including infectious diseases. The team is dedicated to employing innovative clinical trial designs and statistical methodologies, with a particular focus on Bayesian techniques, to enhance the probability of program success.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
In this role you will:
- Provide statistical input for the design, analysis, reporting, and interpretation of clinical studies.
- Build and maintain strategic working relationships with internal and external partners to achieve study deliverables.
- Collaborate within a cross-functional team to ensure study objectives are met.
- Identify and apply innovative statistical methodologies to support the development of medicines.
Basic Qualifications & Skills:
- Education : MS (or equivalent) in statistics.
- Experience : Relevant experience as a study statistician in a clinical trial setting.
- Statistical Expertise :
- Practical understanding of statistical modelling and its application to real-world clinical problems.
- Sample size calculations across various endpoint types.
- Modelling and analysis of longitudinal data.
- Interpersonal Skills :
- Excellent communication abilities, with a proven capacity to explain both novel and standard statistical approaches to scientific and clinical colleagues.
- Strong experience in building and maintaining effective working relationships in a team environment.
- Ability to adapt to dynamic work settings.
- Programming : Proficiency in relevant programming languages such as R or SAS.
- Performance : Proven track record of strong performance in either an academic or industry setting.
If you possess these skills and experiences, we invite you to apply.
Preferred Qualifications & Skills:
- PhD in statistics.
- Experience with Bayesian methods.
- Expertise in multiple statistical methodologies and their practical application.
- Ability to apply innovative statistical thinking.
- Strong influencing skills effectively utilised across functions and organisation levels.
- Experience in working with and coordinating the work of CROs.
- Proficiency in time management and prioritisation.
Closing Date for Applications – 10th Jan 2025 (COB)
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people over the next 10 years. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery. We are revolutionising the way we do R&D. We’re uniting science, technology and talent to get ahead of disease together.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels.#J-18808-Ljbffr
Principal Statistician within Clinical Trials employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Statistician within Clinical Trials
✨Tip Number 1
Familiarize yourself with Bayesian statistical methods, as they are specifically mentioned in the job description. Consider taking an online course or reading recent publications to enhance your understanding and demonstrate your commitment to innovative methodologies.
✨Tip Number 2
Network with professionals in the clinical trials field, especially those who work at GSK or similar companies. Attend industry conferences or webinars to make connections and learn more about the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with statistical modeling and real-world applications during the interview. Be ready to provide specific examples of how you've successfully applied these skills in previous roles.
✨Tip Number 4
Highlight your interpersonal skills and ability to work in cross-functional teams. Think of instances where you effectively communicated complex statistical concepts to non-statistical colleagues, as this will be crucial for the role.
We think you need these skills to ace Principal Statistician within Clinical Trials
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal Statistician position. Familiarize yourself with GSK's focus on innovative statistical methodologies, especially Bayesian techniques.
Tailor Your CV: Customize your CV to highlight relevant experience in clinical trials and statistical analysis. Emphasize your proficiency in programming languages like R or SAS, and any experience with Bayesian methods.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for statistics and clinical research. Discuss how your skills align with GSK's mission and how you can contribute to their goals in developing new medicines.
Highlight Interpersonal Skills: In your application, emphasize your communication abilities and experience in building effective working relationships. GSK values collaboration, so demonstrate your capacity to work within cross-functional teams.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical modeling and its application in clinical trials. Highlight specific examples where you've successfully applied innovative statistical methodologies, especially Bayesian techniques, to solve real-world problems.
✨Demonstrate Strong Communication Skills
Since the role requires excellent communication abilities, practice explaining complex statistical concepts in simple terms. Be ready to share how you've effectively communicated with both scientific and clinical colleagues in past projects.
✨Highlight Team Collaboration Experience
GSK values teamwork, so be sure to provide examples of how you've built and maintained effective working relationships within cross-functional teams. Discuss any experiences where you contributed to achieving study objectives through collaboration.
✨Prepare for Technical Questions
Expect technical questions related to sample size calculations, longitudinal data analysis, and programming languages like R or SAS. Brush up on these topics and be ready to demonstrate your proficiency and problem-solving skills during the interview.