Parexel · 1 day ago
Consultant, Advanced Analytics: Meta-Analysis, HTA Statistician
Parexel is hiring a Consultant in Advanced Analytics: Meta-Analysis to work remotely. This role involves providing statistical capabilities and methodological leadership throughout project stages, including designing and delivering client solutions while collaborating with junior team members.
Pharmaceuticals
Responsibilities
Provide expert input on 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 of clinical trials and other relevant data sources and develop supporting 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
Preparing network meta-analysis protocols
Reviewing data extracted from systematic literature reviews
Conducting feasibility assessments
Generating network diagrams
Critically assessing study heterogeneity
Conducting network meta-analysis
Assisting with interpretation and dissemination of findings
Pairwise meta-analysis
Mixed treatment comparison
Indirect treatment comparison
Network meta-analysis
Match-adjusted indirect treatment analysis
Meta-regression
Single-arm trial analysis
Simulated treatment comparison
Surrogate outcome assessment
Qualification
Required
Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative fields
Proficiency in data analytics and statistical software/tools such as WinBUGS, R, Stata, Python, and SAS
Minimum of 3 years of hands-on experience in the pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academic institution
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
Strong strategic, collaboration, and communication skills
Excellent organization, planning, and prioritization abilities
Ability to meet tight deadlines
Strong written and verbal communication skills in English
Preferred
Pharma affiliate experience
Experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software
Company
Parexel
Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster.
H1B Sponsorship
Parexel has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (33)
2024 (46)
2023 (41)
2022 (51)
2021 (54)
2020 (33)
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-04-27
2024-04-07
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