Senior Associate, Advanced Analytics, Meta-Analysis

Senior Associate, Advanced Analytics, Meta-Analysis

2026-10-18T00:00:00

Sheffield

South Yorkshire

GB

S1 1

Any

PAREXEL

2026-11-17T10:00:30.7

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

• 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.

Key Responsibilities

• 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.

Summary Location

United Kingdom-London-Gridiron-Remote; United Kingdom-London-Gridiron; United Kingdom-Worthing; United Kingdom-Worthing-Remote; United Kingdom-Harrow; Georgia-Remote; Poland-Remote; United Kingdom-Navigation House; Denmark-Remote; Sweden-Remote; United Kingdom-Harrow-Remote; Spain-Remote; Belgium-Remote; United Kingdom-Sheffield-Remote

Type

#s1-Gen

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