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hackajob is collaborating with GSK to connect them with exceptional tech professionals for this role.

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 practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

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.
  
  

• MS 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 peers without substantial statistical training
• Strong time management skills; able to effectively organize and manage a variety of tasks across different projects
  
  

• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Software Development

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