Senior Associate, Advanced Analytics, Meta-Analysis

Parexel; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Parexel seeks a skilled statistician/health economist to bolster our Access/HTA capabilities in the US. You will design analyses, identify evidence needs, and support global development with payer-oriented insights.

Requires a Master’s/PhD in statistics or health economics, 3+ years in pharma/consulting, with expertise in GLM, survival and network meta-analysis, Bayesian methods, and proficiency in R and GitLab (SAS/Python/WinBUGS a plus). English fluency essential.

Qualifications

• Master’s or Doctoral-level degree in applied statistics, health economics, and related quantitative fields.
• Minimum of 3 years of hands-on experience in pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academia (pharma affiliate experience a plus).
• In-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements.
• Skilled in research design and statistical methods; proficient in R and GitLab; experience with SAS, Python, WinBUGS/JAGS a plus.
• Strong English communication, collaboration, and project-management skills.

Responsibilities

• Provide expert input into design of clinical development programs to address HTA evidence needs.
• Identify evidence gaps, data sources, and design robust evidence-generation plans.
• Align HTA activities with Global Access and wider organization functions.
• Plan and conduct statistical analyses on trials and other data sources; develop documentation for analyses and models.
• Interpret findings and work with affiliates to incorporate global input into local reimbursement submissions.
• Lead or contribute to cross-functional teams and develop methodologies within the Evidence Chapter.
• Keep up to date with HTA landscape and research to inform evidentiary plans and external relationships.

Skills

GLM analysis

Survival analysis

Network Meta-Analysis

Bayesian statistics

English communication

Education

Master’s or Doctoral degree in applied statistics / health economics

Tools

R

GitLab

SAS

Python

WinBUGS/JAGS

Job description

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