Statistics Leader

Statistics Leader

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Statistics team to support innovative oncology drug development through statistical analysis and strategic insights.
  • Company: GSK is a global biopharma leader focused on uniting science, technology, and talent for better health.
  • Benefits: Enjoy competitive salary, annual bonuses, hybrid work options, and comprehensive healthcare programmes.
  • Why this job: Make a real impact in healthcare while growing in a supportive, inclusive environment.
  • Qualifications: MSc in Statistics or related field with experience in clinical research; strong communication skills required.
  • Other info: Applications close on 11th July; GSK values diversity and encourages all qualified applicants to apply.

The predicted salary is between 42000 - 84000 £ per year.

Join our industry-leading Statistics team, dedicated to embedding high-quality quantitative reasoning at the heart of every project in our portfolio. At GSK, statisticians are essential in maximizing the use of all available data points to efficiently develop translational strategies that underpin our comprehensive clinical development plans. The Oncology Clinical Development Statistics group is seeking exceptionally talented and dedicated Statisticians. In this role, you will apply your statistical expertise and innovative methodologies to make key contributions to the development of new medicines in the Oncology field. You will provide statistical and strategic insights into clinical development plans and the design of end-to-end development strategies, from early first-in-human trials to late-phase drug development.

Our team is committed to utilizing novel clinical trial designs and innovative statistical methods, including Bayesian techniques, to assess risk as well as probability of success for both studies and overall programs to enable informed decision-making. 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. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

In this role you will:

  • Provide required statistical support to Project and Study Statisticians across the oncology team.
  • Provide statistical input to the design, analysis, reporting and interpretation of clinical studies using a wide range of statistical approaches and/or applicable software (e.g. simulation, Bayesian methods, interim analysis strategies), while influencing clinical development, regulatory, and commercial strategies.
  • Author statistical analysis plans and prepare statistical input to key documents (including protocol) and presentation material, while collaborating with internal and external partners to meet business needs.
  • Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines.
  • Build and maintain effective strategic working relationships with internal and external partners to meet business needs.
  • Identify, develop, and implement novel statistical methodologies in support of medicines development and formulate data strategies to leverage internal and external databases for R&D oncology and invest in expanding expertise across clinical, regulatory, and commercial domains.

Why you?

Basic Qualifications & Skills:

  • MSc in Statistics or related discipline with significant relevant experience.
  • Relevant experience in clinical research (Pharma, CRO, or academic setting).
  • Track record of strong statistical contribution to early and/or late phase drug development.
  • Capable of implementing innovative methods by simulation using R, SAS or other software.
  • Proficient in both spoken and written communication, with the capability to clearly communicate both new and established statistical methods and results to peers without substantial statistical training.
  • Strong time management skills; able to effectively organize and manage a variety of tasks across different projects.

Preferred Qualifications & Skills:

  • PhD in Statistics or closely related field and experience in Oncology.
  • Expertise and practical application in multiple statistical methodologies (including Bayesian) & innovative statistical thinking.
  • Capability in building and maintaining strong working relationships in a team setting.
  • Excellent interpersonal and communication skills & demonstrated ability to explain novel and standard methods to scientific and clinical colleagues.
  • Strong influencing skills applied effectively across functions and levels of an organization.
  • Demonstrated ability to lead or make major contributions to department, organizational and/or industry-wide initiatives, through effective communication and influence.

Closing Date for Applications – Friday 11th of July (COB)

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Statistics Leader employer: GlaxoSmithKline

At GSK, we pride ourselves on being an exceptional employer, particularly for our Statistics team in Stevenage and London. We offer a dynamic work culture that prioritises employee growth, inclusivity, and wellbeing, alongside competitive salaries and comprehensive benefits including hybrid working options. Join us to be part of a forward-thinking organisation where your contributions directly impact the development of innovative medicines in oncology, all while enjoying a supportive environment that encourages personal and professional development.
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Contact Detail:

GlaxoSmithKline Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Statistics Leader

✨Tip Number 1

Familiarise yourself with the latest statistical methodologies, especially Bayesian techniques, as these are highlighted in the job description. Being able to discuss how you've applied these methods in past projects can set you apart during interviews.

✨Tip Number 2

Network with professionals in the oncology field and attend relevant conferences or webinars. This will not only enhance your knowledge but also help you build relationships that could lead to referrals or insights about the role.

✨Tip Number 3

Prepare to discuss your experience in clinical research, particularly any contributions you've made to drug development. Be ready to provide specific examples of how your statistical input influenced project outcomes.

✨Tip Number 4

Showcase your communication skills by practising how to explain complex statistical concepts in simple terms. This is crucial for collaborating with non-statistical colleagues and will demonstrate your ability to work effectively within a team.

We think you need these skills to ace Statistics Leader

MSc in Statistics or related discipline
Experience in clinical research (Pharma, CRO, or academic setting)
Strong statistical contribution to drug development
Proficiency in R, SAS or similar software for simulation
Ability to communicate statistical methods clearly
Time management skills
Statistical analysis plan authoring
Collaboration with internal and external partners
Development of novel statistical methodologies
Understanding of Bayesian techniques
Ability to influence clinical development strategies
Strong interpersonal skills
Ability to explain complex concepts to non-experts

Some tips for your application 🫡

Tailor Your Cover Letter: Make sure to customise your cover letter to highlight how your skills and experiences align with the specific requirements of the Statistics Leader role. Mention your expertise in statistical methodologies, particularly in oncology, and how you can contribute to GSK's goals.

Highlight Relevant Experience: In your CV, emphasise your relevant experience in clinical research, especially any roles that involved statistical contributions to drug development. Use specific examples to demonstrate your proficiency in using software like R or SAS for innovative statistical methods.

Showcase Communication Skills: Since the role requires clear communication of statistical methods, include examples in your application that showcase your ability to explain complex concepts to non-statistical colleagues. This could be through presentations, reports, or collaborative projects.

Demonstrate Time Management: GSK values strong time management skills. In your application, provide examples of how you've effectively organised and managed multiple tasks across different projects, ensuring high-quality deliverables within agreed timelines.

How to prepare for a job interview at GlaxoSmithKline

✨Showcase Your Statistical Expertise

Be prepared to discuss your experience with various statistical methodologies, especially Bayesian techniques. Highlight specific projects where you've applied these methods and how they contributed to successful outcomes in clinical research.

✨Communicate Clearly and Effectively

Since the role requires explaining complex statistical concepts to non-statisticians, practice articulating your thoughts clearly. Use simple language and relatable examples to demonstrate your ability to communicate effectively with diverse teams.

✨Demonstrate Your Problem-Solving Skills

Prepare to discuss scenarios where you identified and implemented innovative statistical solutions. Think of examples that showcase your analytical thinking and how you approached challenges in previous roles.

✨Build Rapport with Interviewers

Establishing a good connection with your interviewers can make a significant difference. Be personable, engage in small talk, and show genuine interest in their work and the company culture. This will help you stand out as a candidate who fits well within the team.

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