• Collaborates with representatives from other functions to plan and execute Oncology Medical Affairs statistical activities (for example post marketing clinical and observational trials, real world data analyses, publications, life-cycle management of Client s products, reimbursement dossiers) and closely works with the Project Statistician to coordinate the all statistical aspects of Oncology Medical Affairs activities at a project level under guidance of an experienced statistician

  • Develops the statistical analysis plans for the Oncology Medical Affairs activities as appropriate, ensuring overall consistency within and between projects. Performs exploratory analyses on internal and external databases

  • Facilitates the overall organization and coordination of statistical aspects for specific Oncology Medical Affairs activities and small projects

  • Leads virtual cross-functional sub-teams within Statistics and Data Management, Oncology

  • Assumes responsibility for the production and accuracy of the statistical deliverables and interpretation of the results

  • Works independently at routine and complex statistical questions and tasks

  • Oversees and ensures accurate and timely delivery of statistical work outsourced to external providers

Education and Qualifications:

  • PhD or MSc in Biostatistics, Statistics or Mathematics, or related field

  • At least two years as a statistician with significant time spend in pharma, biotech or similar sector

Skill & Competency Requirements:

  • Good knowledge of clinical trial designs, common analysis methods, descriptive and inferential statistics, summarization of data and presentation practices

  • Hands on experience of survival analyses

  • Experience in writing statistical analysis plans, including table shell specifications

  • Strong communication skills

  • Ability to work independently as well as collaboratively, as required

  • Good knowledge of statistical programming languages (including SAS and R)

  • Fluent English skills


  • Experience with observational studies and meta-analyses

  • Real world data analysis and familiarity with databases such as FlatIron, OPTUM is a plus

Associated topics: ancmg, aoa, breast, hem onc, lah, oncology, physician md, physician md do, radiation, thedacare

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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