Global HEOR Evidence Synthesis Senior Manager

Global HEOR Evidence Synthesis Senior Manager

remote type

On Site

locations

India - Hyderabad

time type

Full time

posted on

Posted Today

job requisition id

R-243444

Career Category

Operations

Job Description

Department: Global Health Economics & Outcomes Research (HEOR)

Job Family: Evidence Synthesis

Job Type: Full-Time

Location: Hyderabad, India

Reports To: Global Value & Access AIN Head

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). This role will partner closely with Global HEOR Product Leads to ensure strong alignment with product strategy. The Evidence Synthesis Senior Manager will lead 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: +12 years for Master’s degree and +14 years for Bachelor’s degree.
• Expertise in research design and statistical methods, including estimating survival, pooled treatment effects and other methods to estimate treatment effect
• Experience in leading 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.
• Experience in AI/ ML techniques and Bayesian statistics is a plus.

Key Responsibilities

• Design and provide methodological leadership in 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 lead 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.

• Work closely with HEOR Product Leads to ensure analyses and models follow product strategy.

• Monitor and integrate evolving HTA guidelines, payer requirements, and methodological advancements.

• To foster thought leadership opportunities

• 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.

• .

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• Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

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