[Remote] Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician)

Note: The job is a remote job and is open to candidates in USA. Parexel is a company seeking a Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician) to provide statistical expertise and methodological leadership across evidence-generation and health technology assessment projects. The role involves designing and conducting advanced analyses, guiding junior staff, supporting client relationships, and contributing to clinical development, reimbursement, and evidence-synthesis activities.

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
• The Consultant, Advanced Analytics: Meta-Analysis is responsible for ensuring that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized at all times -- ensuring the direction of the project and the quality of the deliverables meet the project objectives and the client needs
• Further, Consultants are expected to guide the Senior associates and Associates in their daily duties and to flag any areas of acute training needs to their line managers
• Supported by the senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects
• The successful candidate will be part of multi-disciplinary research teams and will be expected to provide statistical expertise and methodological leadership at all stages of projects from planning to completion
• Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of network meta-analysis protocols, reviewing data extracted from systematic literature reviews, conducting feasibility assessments, generation of network diagrams, critical assessment of study heterogeneity, conducting network meta-analysis, and assisting with the interpretation and dissemination of findings
• The successful incumbent is expected to also support ongoing thought leadership and innovation objectives of the unit in the field of advanced analytics including, but not limited to:
• 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

Skills

• 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
• The individual must have a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative fields
• They should be proficient in data analytics and statistical software/tools like WinBugs, R, Stata, Python, and SAS

Benefits

• Remote work arrangement

Company Overview

Company H1B Sponsorship