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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.
Despite the listing of GSK-Upper Providence as the primary job location, candidates will be considered equally from the Upper Providence (USA), Waltham (USA), GSK HQ – London (UK) and Stevenage (UK) sites. 2-3 days per week on site.
Key Responsibilities:
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.
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
MS in Statistics or related discipline with 5+ years of relevant experience
Experience in clinical research (Pharma, CRO, or academic setting)
Experience in late phase drug development
Experience implementing innovative method by simulation using R, SAS or other software
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
PhD in Statistics or closely related field (+3 years' experience in Oncology)
Practical understanding of Statistical Modelling and experience with Bayesian methods
Expertise and practical application in multiple statistical methodologies & innovative statistical thinking
Track record of strong performance in an industry or academic setting
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
Demonstrated ability to lead or make major contributions to department, organizational and/or industry-wide initiatives, through effective communication and influence.
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
Self-motivated and independent worker
Strong time management skills; able to effectively organize and manage a variety of tasks across different projects
hackajob is partnering with GSK to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.