At a Glance
- Tasks: Lead complex evidence evaluation and network meta-analysis projects with robust methodologies.
- Company: Join a leading consultancy in health economics and policy.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Collaborative team culture with opportunities for growth and learning.
- Why this job: Make a real impact in healthcare through advanced statistical analysis and innovative solutions.
- Qualifications: Master's or Doctoral degree in relevant quantitative fields with 8+ years of experience.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- 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.
Qualifications
- A Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.
- 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 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 proficiency: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus.
- 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) in City of Westminster employer: Parexel
As a Senior Consultant in HEOR, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. Our company fosters a culture of collaboration and innovation, offering access to cutting-edge resources and training opportunities that empower you to excel in your role. Located in a vibrant area, we provide a unique blend of professional challenges and personal fulfilment, making us an exceptional employer for those passionate about advancing healthcare solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the health economics and consultancy fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving evidence evaluation and network meta-analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions in your field. Focus on how you can communicate complex statistical concepts in simple terms, as this is key for client interactions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis) in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Consultant role. Highlight your expertise in health economics, statistical methods, and any relevant software tools you've used. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about evidence evaluation and network meta-analysis. Share specific examples of your past projects and how they relate to what we do at StudySmarter.
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application materials are clear and concise. We love candidates who can explain complex concepts in simple terms, so don’t hesitate to demonstrate this in your writing!
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 shows you’re keen on joining the StudySmarter family!
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 in the field.
✨Showcase Your Software Skills
Familiarise yourself with the statistical software tools mentioned in the job description, like R, SAS, and Python. Prepare to give examples of how you've used these tools in past projects, as demonstrating your technical proficiency can set you apart from other candidates.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. Since the role requires effective communication with clients and team members, being able to relay technical information clearly will highlight your strong communication skills.
✨Demonstrate Leadership Experience
Be prepared to discuss your experience in managing projects and leading teams. Share specific examples of how you've coached team members or navigated challenges in a consultancy environment, as this will showcase your leadership capabilities.
