Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) Join to apply for the Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) role at Parexel
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Join to apply for the Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) role at Parexel
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.
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
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Research and Consulting
Industries Pharmaceutical Manufacturing, Biotechnology Research, and Hospitals and Health Care
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