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Senior Principal Statistician

You will work within a team applying your statistical expertise and innovative methodology to support clinical development within the Oncology pipeline. You will work closely with cross-functional teams to design studies from early first-in human trials to late-phase drug development. Our team is committed to utilising 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.

Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Provide statistical support to Project Statisticians and support studies across Oncology pipeline.
• Contribute to statistical design and analysis of clinical trials across development phases using a wide range of statistical approaches (e.g. Bayesian methodology).
• Use simulations and advanced statistical methodology to inform trial design and risk assessment.- Develop and review statistical analysis plans, protocols and sample size calculations to support oncology clinical trials.
• Work closely with study teams (programmers, data managers and clinical colleagues) in support of clinical trials.
• Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines.

Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals

• Master's degree or higher in Statistics, Biostatistics, Applied Mathematics, Mathematics, or a related quantitative discipline.
• Demonstrated relevant pharmaceutical, CRO or biotechnology industry experience.
• Practical experience in statistical programming (R, Python) and model implementation.
• Hands-on experience with simulation methods and study design for clinical development.
• Strong written and verbal communication skills for technical and non-technical audiences.
• Proven ability to work in cross-functional teams and to manage multiple priorities.

Preferred Qualification
If you have the following characteristics, it would be a plus

• PhD in Statistics or closely related field
• Experience with Bayesian methods, advanced predictive modelling, or causal inference.
• Track record of methodological innovation or contributions to publications
• Experience within oncology therapeutic area
• Experience with phase II and III clinical trial analysis

Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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. We're uniting science, technology, and talent to get ahead of disease together.

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Polish Salary Range / Polski przedzia wynagrodzenia: PLN 0 to PLN 0The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate's skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate's skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate's skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.

We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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.

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