Global HEOR Evidence Synthesis Manager

Career Category

Job Description

Department: Global Health Economics & Outcomes Research (HEOR)

Job Family: Evidence Synthesis

Job Type: Full-Time

Location: Hyderabad, India

Reports To: Global HEOR Evidence Synthesis Team Lead

Position Summary

The Global HEOR Evidence Synthesis Manager plays a critical role in supporting Amgen’s global market access and health economics strategy through contributing statistical capabilities and methodological leadership for evidence synthesis methodologies (meta-analyses & ITCs). The Evidence Synthesis Manager will conduct different evidence pooling analyses ranging from meta-analyses, network meta-analyses to population-adjusted indirect treatment comparisons (MAICs and STCs) and health-economic analyses facilitating HTA and payer decision-making.

Educational Qualifications

A Bachelor’s, Master's or Doctoral-level degree in applied statistics, biostatistics, mathematics, operations research, engineering, health economics, pharmacy, and related quantitative fields

Required experience/ knowledge

• Years of relevant experience in evidence synthesis and statistical analyses in the pharmaceutical, biotech or consulting setting: +6 years for Master’s degree and +8 years for Bachelor’s degree.

• Hands-on experience in research design and statistical methods, including estimating survival, pooled treatment effects and other methods to estimate treatment effect

• Experience in conducting health economic analyses such as cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate

• Proficiency with modeling and statistical tools such as Excel, WinBugs, OpenBugs, JAGS, R or Python.
• Familiarity with AI/ML techniques and Bayesian statistics is a plus.

Key Responsibilities

• Design and conduct advanced evidence synthesis and statistical analyses such as Pairwise Meta-Analysis, Surrogate outcome assessment, Survival analysis, External Control Arm (ECA) analysis, Indirect treatment comparison (ITCs), Network Meta-Analysis, Match adjusted indirect treatment analysis (MAIC), Simulated treatment comparison (STC) and Meta-regression
• Design and develop health economic models for products at all stages of development and launch, using cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate.
• Ensure quality standards are adhered to in all analyses and new methodologies and techniques are adequately assessed and implemented.
• Plan and conduct statistical analyses of clinical trials, RWE and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models.
• Monitor and integrate evolving HTA guidelines, payer requirements, and methodological advancements.
• Create QC checklists and establish robust QC processes across projects
• To proactively mentor and develop members of the team

Skills & Competencies

• Excellent English oral and written communication, with ability to tailor content to different stakeholders.
• Strong quantitative and analytical skills with attention to detail.
• Strong project management and time-management abilities.
• Innovative use of artificial intelligence to boost efficiency.

Organizational Behaviors

• Effective cross-functional collaboration and interpersonal skills.
• Proactive, independent, and detail-oriented approach to problem-solving.
• Comfortable working in a global team across time zones and cultures.