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As part of Parexel Consulting, you will play a vital role in helping biopharmaceutical and medical device companies navigate the complex and ever-changing regulatory landscape. Drawing on your scientific, technical, and regulatory expertise, you will work closely with clients to develop and implement regulatory strategies that bring their products to market faster and keep them there.
Job Responsibility:
Provide expert input on the design of clinical development programs to ensure Access/HTA evidence needs are considered
Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans
Ensure Access/HTA evidentiary activities are strategically aligned with other functions
Plan and conduct statistical analyses of clinical trials and other relevant data sources and develop supporting technical documentation
Interpret and communicate the findings of analyses
Lead or contribute to cross-functional teams within a matrix structure
Keep up to date with the changing Access/HTA landscape and academic research
Build relationships with relevant external statistics, health economics, Access/HTA, and policy experts
Ensure that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized
Guide the Senior associates and Associates in their daily duties
Maintain client relationships on their projects
Contribute to the preparation of network meta-analysis protocols
Review data extracted from systematic literature reviews
Conduct feasibility assessments
Generate network diagrams
Critically assess study heterogeneity
Conduct network meta-analysis
Assist with the interpretation and dissemination of findings
Support ongoing thought leadership and innovation objectives in the field of advanced analytics
Requirements:
Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields
Minimum of 3 years of hands-on experience working in the pharmaceutical industry, a consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus)
Demonstrate in-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements
Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, and Bayesian statistics
Proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus)
Strong strategic, collaboration, and communication skills
Strong organization, planning, and prioritization skills with an ability to meet tight deadlines
Strong written and verbal communication skills in English
Nice to have:
Experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus