Senior Associate, Advanced Analytics, Meta-Analysis

When our values align, there’s no limit to what we can achieve.

At Parexel, we all share the same goal – to improve the world’s health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special – a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we’re committed to making a difference.

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

Originally posted on Himalayas