Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)

Summary of This Role:-
This Senior Consultant;

• leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs.
  
• provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion.
  
• leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.
  
• applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success.
  This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.
  Knowledge and Experience
  
  :
  Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment)
  Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including
  
  parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques
  Familiarity with machine learning techniques and Bayesian statistics is a plus
  Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly
  Ability to communicate effectively, in non-technical terms, with project team members and clients
  Experience in managing projects and leading/coaching a project team
  Keen interest in medical research, provision of healthcare, and the pharmaceutical industry
  Skills:
  Strong computing skills (MS Office), including MS Excel
  High analytical ability
  Excellent scientific, business writing, and presentation skills with close attention to detail
  Ability to work under pressure to meet multiple and sometimes competing deadlines
  Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client
  Self-motivation, enthusiasm, ambition, and flexibility
  Competent in written and spoken English
  Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus
  Education
  Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics
  
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