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Epidemiologist Pharmaceutical company new role

Hays Specialist Recruitment Limited
Job LocationLondon
EducationNot Mentioned
Salary£300.00 - £500.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract, full-time

Job Description

Epidemiologist for global pharmaceutical company in London, 12 month contract, real world data, RWE, stats Your new companyA top tier pharmaceutical company with more than 40 molecules in clinical trials and several imminent launches are looking to bring in several epidemiologists to their Real World Evidence & epidemiology department to work on a wide range of studies across their portfolio and support their pipeline development.This company has an excellent reputation and has consistently grown over the last 20 years through reinvesting in R&D efforts, providing a number of opportunities to extend and potentially go permanent.Your new roleYou will be joining an established team, contributing to the analysis & interpretation of real world data & observational studies, as well as preparing abstracts and presentations.This is initially a 12-month contract that is likely to extend / could be converted to a permanent role if desired. The role is currently fully home based and is likely to have a lot of flexibility for home working going forward. Main responsibilities will include:

  • Contribute to/manage the design and execution of observational or non-interventional studies;
  • Analysing Real World Data from diverse sources, eg CPRD, THIN, patient registries or health insurance claims;
  • Carry out literature reviews;
  • Help prepare data and documents to answer queries from regulatory authorities;
  • Contribute to development and/or review of Statistical Analysis Plans;
  • Working closely with internal stakeholders across different teams / departments, including medical, regulatory, drug safety, etc;
  • Provide data analysis expertise, using advanced statistical and/or Machine Learning approaches;
  • Support epidemiology projects to help shape the companys drug development portfolio.
    • What youll need to succeedAs well as strong problem solving and organisational skills you should have:
  • An MSc, PhD, MPH/MS in epidemiology, statistics, public health or similar - or equivalent experience
  • Hands-on analytical & statistical skills;
  • Pharmaceutical industry and/or CRO experience is a plus, but strong academic or public health/health insurance experience is also valuable;
  • Excellent written / verbal communication and interpersonal skills;
  • The ability to work in an environment with changing priorities and tight deadlines;
  • Experience with SAS, R, Stata or similar languages for data analysis;
  • Experience of working with large databases, eg electronic health records / claims databases / CPRD, etc.
    • What youll get in returnThe chance to work on a variety of exciting projects for one of the market leaders with an excellent corporate atmosphere and a good pay rate.What you need to do nowIf youre interested in this role, click apply now to forward an up-to-date copy of your CV, or call me on .If this job isnt quite right for you but you are looking for a new position within epidemiology, RWE or Real World Data, please contact us for a confidential discussion on your career.Keywords: epidemiology, epidemiologist, observational, research, scientist, science, statistics, statistician, programming, real, world, data, evidence, outcomes, RWE, RWD, SAS, R, genetic, population, clinical, trial, study, studies, literature, review, insight, treatment, EMR, medical, record, pharmaceutical, infectious, disease, virology, neurology, oncology, cancer, disease, therapy Required skills
  • SAS
  • science
  • learning
  • data
  • python
  • programmer
  • research
  • machine
  • R
  • RWD
  • programming
  • statistics
  • scientist
  • epidemiologist
  • evidence
  • epidemiology
  • statistician
  • outcomes
  • observational
  • world
  • RWE
  • real
  • genetic
  • population

    • Keyskills :
    SAS science learning data python programmer research machine R RWD programming statistics scientist epidemiologist evidence epidemiology statistician outcomes observational wld RWE real genetic population

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