statistician - London, United Kingdom - STEM Graduates

STEM Graduates
STEM Graduates
Verified Company
London, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Location

  • City of London
    Job Type
  • Immediate Start Graduate Role
    Salary

Sector

  • Science and Research
    Location
  • City of London
    Job Type
  • Immediate Start Graduate Role
    Salary

Sector

  • Science and Research
    Statistician
  • Health Economics
***
Job Location:London or Oxford / Remote or Hybrid


Job Type:
Full time, permanent


Job Salary:
£45k upwards depending on experience


Job Benefits:25 days annual leave, 3 days Christmas closure, birthday day off, discretionary bonus, monthly pizza & Quiz, excellent pension, life assurance, private medical insurance, progression opportunities


We are currently working with a consultancy who work with healthcare and pharmaceutical clients to enhance market access for new healthcare interventions.

They specialise in health economics, health technology assessments and systematic reviews. Their aim is to achieve the best outcomes for patients and their clients.


The company are a friendly and supportive team who are looking for a Statistician in a client - facing and collaborative role.

They are looking for a motivated and enthusiastic individual who has experience in a similar role, to work closely with the project managers, and value communication and health economics teams to deliver high quality evidence-based solutions for their clients.


Responsibilities:


  • Preparation of study protocols, including statistical analysis plans, specifying table shells and figures
  • Preparation of datasets for analysis and undertaking analyses
  • Quality assurance review of statistical models developed both within the company and for clients
  • Involvement in client meetings, providing updates on methods, progress and results of data analysis
  • Report preparation and presentation to clients
  • Client liaison within a project

Job Requirements

  • A postgraduate degree in Medical Statistics, Statistics or similar
  • Experienced in using statistical software packages such as R and STATA
  • Experienced in Microsoft Excel
  • Good experience of working with patient level data or large individual data sets
  • Ability to implement survival analysis, generalised linear models, multilevel models and to draw inference between parameters and clinical endpoints
  • Proven experience of undertaking statistical analyses within a consultancy, academia, the NHS or a pharmaceuticals or devices company
  • Familiar with analysing realworld evidence and datasets

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