Biostatistician (Senior Associate or Consultant)

Competitive     London

Biostatistician (Consultant or Senior Associate Level)

As a Senior Associate or Consultant, you should be able to:

  • Work effectively both within a collaborative team environment and independently
  • Work within broad project guidelines as directed by the Project Lead and/or Technical subject matter experts
  • Prioritize work to achieve project outcomes while aligning with project lead and line manager
  • Capitalize on opportunities to improve one’s own performance and seek feedback from the project Lead and colleagues
  • Apply information provided by the project Lead or senior colleagues to complete assigned project activities
  • Produce quality work that meets the expectations of project Lead and the client
  • Manage own workload to ensure project delivery within agreed timescales
  • Communicate proactively with project lead and other colleagues, as appropriate
  • Act as in internal consultant providing statistical advice to colleagues
  • Mentor/coach more junior staff



Ideal candidate will possess:

  • M.Sc. or advanced degree in Statistics or related field (e.g. Mathematics, Epidemiology, Outcomes Research, Computer Science, Econometrics) (essential)
  • At least 3 years (Senior Associate) or 5 years (Consultant) of working within the Pharmaceutical industry, academia or consultancy as a statistician (essential)
  • Advanced programming experience with SAS or R (at least one required) and ideally experience of other statistical software packages (desirable)
  • Experience analyzing clinical trial and/or real-world data (e.g. registry, insurance claims) (essential)
  • Strong knowledge of fundamental methodologies (essential) and some more advanced statistical methodologies including, for example, survival analysis, longitudinal data analysis, predictive equations or psychometric analyses (validation of Clinical Outcome Assessments such as patient reported outcomes) (desirable)
  • Experience of writing statistical analysis plans (SAPs) and analysis results within study reports (essential)
  • Knowledge of CDISC, SDTM and ADaM (desirable)
  • Knowledge in epidemiological and statistical methods using on large medical administrative claims databases, registries and electronic medical record (EMR) data (desirable)
  • Strong understanding in matching algorithms, adherence/persistence and missing value handling (desirable)
  • Experience in analysis of databases such as Truven MarketScan, SDI, CPRD (desirable)
  • Strong communication (spoken and written) and problem-solving skills (essential)
  • Ability to compile, analyze and present data in a clear and concise manner (essential)
  • Ability to prioritize and work on multiple projects simultaneously (essential)

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