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- Tasks: Lead complex evidence evaluation and network meta-analysis projects with robust methodologies.
- Company: Join a forward-thinking consultancy focused on health economics and impactful research.
- Benefits: Competitive salary, professional development, and opportunities to work on innovative healthcare solutions.
- Why this job: Make a real difference in healthcare by applying your statistical expertise and analytical skills.
- Qualifications: Master's or Doctoral degree in relevant quantitative fields with 8+ years of experience.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
When our values align, there's no limit to what we can achieve.
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 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.
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.
Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) employer: Parexel
Contact Detail:
Parexel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)
✨Tip Number 1
Network like a pro! Reach out to your connections in the health economics and consultancy fields. Attend industry events, webinars, or even local meet-ups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with evidence evaluation and network meta-analysis projects. Include case studies or examples of your work that demonstrate your statistical capabilities and methodologies. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex statistical concepts in simple terms. Remember, you’ll need to convey your expertise effectively to clients and team members alike, so being able to break it down is key!
✨Tip Number 4
Stay updated on industry trends! Follow relevant journals, blogs, and social media accounts related to health economics and biostatistics. This knowledge will not only help you in interviews but also show potential employers that you're genuinely passionate about the field.
We think you need these skills to ace Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with evidence evaluation and network meta-analysis. We want to see how your skills in statistical methods and software like R or SAS can shine through in your application.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Senior Consultant role. We love seeing how you connect your background to what we do at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experiences without wading through fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Parexel
✨Know Your Methodologies
Make sure you brush up on the methodologies relevant to evidence evaluation and network meta-analysis. Be ready to discuss your experience with systematic reviews and advanced statistical techniques, as this will show your depth of knowledge and expertise.
✨Showcase Your Software Skills
Familiarise yourself with the statistical software tools mentioned in the job description, like R, SAS, and Python. Prepare to discuss specific projects where you've used these tools effectively, as this will demonstrate your practical skills and readiness for the role.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. This is crucial since you'll need to communicate effectively with both technical team members and clients. Think of examples where you've successfully done this in the past.
✨Demonstrate Leadership Experience
Be prepared to talk about your project management and leadership experiences. Highlight instances where you've led a team or coached others, as this aligns with the role's requirements and shows your ability to drive project success.
