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Contact Info
Sinead Cullen
Life Science

01 507 9252
[email protected]
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Details

Pharmacoepidemiology Associate


Reference:SCAREU-646508 Location: Cork
Qualification:DegreeExperience:3-4 Years
Job Type:Fixed Term ContractSalary: Not Disclosed

Pharmacoepidemiology Associate
Our client, a global pharma organisation are currently recruiting for a Pharmacoepidemiology Associate to join a growing team within the organisation. As Pharmacoepidemiology Associate you will support pharmacoepidemiology studies by providing analysis of and expertise with Large Healthcare Databases (LHDs). You will be responsible for data mining, authoring of SAS/SQL programs, validation, advanced analytics, statistic support, maintaining knowledge of multiple analytic products, technical support (i.e., testing, validation) for new tools or technologies and collaborate with internal/external business partners to accomplish risk management activities.


Responsibilities

  • Provide analytical expertise in support of pharmacoepidemiology studies, including risk management plans, studies that address regulatory safety questions or evaluate potential safety signals, and active surveillance studies
  • Collaborate with Epidemiologists and Statisticians in study conceptualization and design, providing resource structure expertise to ensure feasibility of epidemiology and statistical specifications
  • Develop, execute, and validate logic to analytical results supporting pharmacoepidemiology studies
  • Provide technical support in the utilization of key statistical measures within analyses
  • Participate in team discussions regarding study output
  • Identify opportunities to improve process efficiency and /or use of standards with analytical methods
  • Ensure compliance with all applicable licenses and company guidelines regarding access and distribution of data, testing and validation practices, and documentation
  • Provide technical support for evaluation, development, implementation and training of analytical tools or technologies that support risk management, safety and surveillance activities
  • Network with appropriate colleagues (i.e., IT, Stats, etc.) to identify and implement consistent solutions.
  • Assess updates to tools and technologies for evaluation of potential process enhancements
  • Collaborate/consult with internal and external business partners to accomplish pharmacoepidemiology activities
  • Actively share expertise and knowledge regarding processes, tools and technology for pharmacoepidemiology
  • Track timelines and resource needs for Research Analyst responsibilities of individual or team projects
  • Communicate updates including work status, schedule/conflicts, resource needs, risks and contingencies to management
  • Ensure the appropriate level of quality (i.e. compliance to corporate/local procedures, peer and technical reviews, etc.) are applied to all programming and validation deliverables
  • As appropriate, engage with industry and other external forums and partnerships to: stay informed of impactful industry and technological developments, influence and share best practices, enhance understanding of new and existing analytic methods

Requirements
  • A bachelor’s degree or higher, preferably in a health-related, statistical or information related field (e.g., epidemiology, statistics, information science, etc.)
  • Excellent problem solving and analytic skills including 3+ years’ experience with statistical software packages
  • Excellent oral and written communication skills, particularly communicating and understanding technical information with diverse groups and individuals
  • Experience utilizing databases containing healthcare information
  • Familiarity with Corporate Computer System Quality and other applicable policies and procedures
  • Competent in the analysis of data for clinical and epidemiological studies
  • High-level knowledge of global regulations for adverse event reporting and patient safety
  • Working knowledge of therapy and medical disease coding
  • Understanding of medical studies and medical research
  • Experience with data mining
For more information please contact Sinéad Cullen on +353879500821 or [email protected]