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

<p><b>When our values align, there&#39;s no limit to what we can achieve.</b><br /> <br />At Parexel, we all share the same goal - to improve the world&#39;s health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.</p><p>Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we&#39;re committed to making a difference.</p><p></p><p></p><p><u><b>Summary of This Role:-</b></u></p><p>This Senior Consultant;</p><p>* leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs.</p><p>* provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion.</p><p>* leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.</p><p>* 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.</p><p>This role requires a Master&#39;s or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.</p><p></p><p><b><u>Knowledge and Experience</u></b>:</p><ul><li>Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8&#43; years, ideally in a consultancy environment)</li><li><span>Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including </span>parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques</li><li>Familiarity with machine learning techniques and Bayesian statistics is a plus</li><li>Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly</li><li>Ability to communicate effectively, in non-technical terms, with project team members and clients</li><li>Experience in managing projects and leading/coaching a project team</li><li>Keen interest in medical research, provision of healthcare, and the pharmaceutical industry</li></ul><p></p><p><b><u>Skills:</u></b></p><ul><li>Strong computing skills (MS Office), including MS Excel</li><li>High analytical ability</li><li>Excellent scientific, business writing, and presentation skills with close attention to detail</li><li>Ability to work under pressure to meet multiple and sometimes competing deadlines</li><li>Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client</li><li>Self-motivation, enthusiasm, ambition, and flexibility</li><li>Competent in written and spoken English</li><li>Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus</li></ul><p></p><p><b><u>Education</u></b></p><ul><li>Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics</li></ul>