As part of Parexel Consulting, you will create and maximize value for clients throughout the product lifecycle. You will be a strategic guide in getting products to market faster, smarter – and keeping them there –your scientific, technical, regulatory, and/or commercial expertise will put best practice standards to work for biopharmaceutical and medical device companies large and small.
In return, you will be provided with interesting opportunities for growth and development and exposed to a variety of challenging assignments, product types, geographic regions, and therapeutic areas. Plus, as member of Parexel Consulting, you will enjoy all the advantages of working remotely, combined with access to the mentorship from a team of highly experienced regulatory professionals at the height of their careers. Join our team, and you will design solutions for the complexities of an ever-changing global marketplace.
- Full Time
- Level: Mid
- Travel: Yes
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Success Profile
Check out the top traits we're looking for and see if you have the right mix.
- Detail-Oriented
- Proactive
- Problem-Solver
- Results-Driven
- Organized
- Multi-Tasker
Rewards
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Global Impact
We are one truly global team working together to propel each client´s journey ahead faster.
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Balance
We value work-life balance. We try and keep regular hours and an emphasis on life outside the office.
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Collaboration
Work with industry leaders and subject matter experts.
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Freedom
The ability to innovate, ask “what if” and try new solutions without fear of failure.
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Variety
Opportunities to work on multiple accounts – never boring!
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Management
Strong management with depth of experience working for global health authorities.
Responsibilities
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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