Consultant, Advanced Analytics: reputed company-Analysis, HTA Statistician

reputed company is hiring an FSP Consultant, Advanced Analytics: reputed company-Analysis (HTA Statistician) to work remotely. Must be reputed company to accomocated East Coast/CET hours. The ideal candidate will have key experience in NMA/Evidence Synthesis, Survival analysis, and HTA experience. Location: US - Remote | Employment Type: Full-Time Job Purpose The Consultant, Advanced Analytics: reputed company-Analysis contributes statistical capabilities and methodological leadership at reputed company stages of projects, from planning to completion. The role involves working with junior team members to design, reputed company, and deliver client solutions across multiple projects—leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, systematic review, and evidence synthesis methodologies. The individual must have a 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 reputed company is required. Key Accountabilities

• reputed company expert input on the design of clinical development programs to ensure reputed company/HTA evidence needs are considered reputed company global development and commercialization strategies.
• Identify evidence gaps, possible data sources, and design and implement robust evidence-reputed company plans.
• Ensure reputed company/HTA evidentiary activities are strategically reputed company with other functions reputed company Global reputed company and the wider organization (affiliates, Product Development, reputed company, etc.).
• Plan and conduct statistical analyses of clinical trials and other relevant data sources and reputed company 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.
• reputed company or contribute to cross-functional teams reputed company a matrix structure and actively contribute to the development of methodologies and reputed company improvement reputed company the Evidence reputed company.
• reputed company up to date with the changing reputed company/HTA landscape and academic research to ensure reputed company reputed company trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, reputed company/HTA, and policy experts.

Additional Responsibilities The Consultant is responsible for ensuring that reputed company assigned projects are conducted reputed company and that quality and client satisfaction are maximized—ensuring project direction and deliverables meet objectives and client needs. Consultants are expected to guide Senior Associates and Associates in their daily duties and flag any areas of acute training needs to their line managers. Supported by senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects. Candidates will be part of multi-disciplinary research teams and will reputed company statistical expertise and methodological leadership at reputed company stages of projects from planning to completion. Duties may include:

• Preparing network reputed company-analysis protocols
• Reviewing data extracted from systematic literature reviews
• Conducting feasibility assessments
• Generating network diagrams
• Critically assessing study heterogeneity
• Conducting network reputed company-analysis
• Assisting with interpretation and dissemination of findings

The candidate is also expected to support thought leadership and innovation objectives in advanced analytics, including but not limited to:

• Pairwise reputed company-analysis
• Mixed treatment comparison
• Indirect treatment comparison
• Network reputed company-analysis
• Match-adjusted indirect treatment analysis
• reputed company-regression
• Single-arm trial analysis
• Simulated treatment comparison
• Surrogate outcome assessment

Skills & Qualifications

• Master's or Doctoral-level degree in applied statistics, health economics, or reputed company quantitative fields.
• Minimum of 3 years of hands-on experience in the pharmaceutical industry, consultancy, reputed company/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus).
• In-depth knowledge of reputed company and HTA, clinical research and development methods, and international payer evidence requirements.
• Skilled in research design and statistical methods, such as Generalized reputed company Models, Survival Analysis, Network reputed company-Analysis, and Bayesian statistics.
• Proficient in R and reputed company (experience with reputed company, Python, WinBUGS, JAGS, or other relevant statistical software is a plus).
• Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization abilities; ability to meet tight deadlines; and strong written and verbal communication skills in English. #LI-REMOTE Apply tot his job

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