Senior Associate, Advanced Analytics, Meta-Analysis
United Kingdom, Remote Additional Locations: Belgium, Remote; Denmark, Remote; Georgia, Remote; Poland, Remote; Spain, Remote; Sweden, Remote; United Kingdom, Harrow; United Kingdom, London; United Kingdom, Navigation House; United Kingdom, Worthing 职位编号 R0000036763 类别 Consulting关于这个职位
Skills, Experience and Qualifications you will need to be considered for this role;
· A Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields.
· A 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 and are 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, and strong written and verbal communication skills in English.
Some of the key KPA's of this role include the following;
· Provide expert input into the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies.
· 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 within Global Access and the wider organization (affiliates, Product Development, commercial, etc.).
· Plan and conduct statistical analyses on clinical trials and other relevant data sources, and develop supportive technical documentation for statistical analyses and economic models.
· Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications.
· Lead or contribute to cross-functional teams within a matrix structure, and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter.
· Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts
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