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- Tasks: Lead statistical projects and contribute to evidence synthesis in health economics.
- Company: Source, an independent HEOR consultancy with a supportive team.
- Benefits: Competitive salary, flexible working options, and professional development opportunities.
- Why this job: Make a real impact in health economics while working with a friendly and innovative team.
- Qualifications: Master’s degree in medical statistics and experience in meta-analysis and Bayesian methods.
- Other info: Join a dynamic environment with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for an experienced statistician who has an interest in applied statistical methods for evidence synthesis. We are looking for an enthusiastic and motivated individual who is proactive, shows initiative, and has experience in contributing to the design and execution of mixed treatment comparisons. The role will be based in either Oxford, London or home-based. Source is an independent HEOR consultancy specialising in health economics, systematic review and health technology assessment. At Source, we have a supportive and friendly team who are focused on delivering high-quality evidence-based solutions for their clients.
Duties will include:
- Leading on statistical projects, including:
- Meta-analysis feasibility assessments
- Pair-wise meta-analyses
- Mixed treatment comparisons
- Population-adjusted indirect comparisons
- Project planning
- Client liaison
- Managing and reviewing the work of other statisticians
- Quality control
Skills, Knowledge & Experience Required:
- Master’s degree or above in medical statistics or other relevant quantitative discipline
- Experience in meta-analysis
- Experience in network meta-analysis (mixed treatment comparisons)
- Experience in Bayesian methods for network meta-analysis
- Experience in population-adjusted indirect comparisons
- Experience with statistical software such as R or WinBUGS/OpenBUGS
- A good understanding of clinical trials including heterogeneity and sources of bias
- A good understanding of how meta-analysis results inform health economic models
- Excellent attention to detail
- Excellent verbal and written communication skills
The Package: Competitive salary and benefits package.
Senior Statistician - Evidence Synthesis employer: SCIRIS
Contact Detail:
SCIRIS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistician - Evidence Synthesis
✨Tip Number 1
Network like a pro! Reach out to your connections in the health economics and statistics field. Attend relevant 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
Prepare for interviews by brushing up on your statistical knowledge and practical applications. Be ready to discuss your experience with meta-analysis and mixed treatment comparisons. Show us your enthusiasm for evidence synthesis and how you can contribute to our team!
✨Tip Number 3
Tailor your approach when reaching out to potential employers. Mention specific projects or initiatives that excite you about the role at Source. This shows us you’ve done your homework and are genuinely interested in what we do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it gives you a chance to showcase your skills and experience directly related to the Senior Statistician role.
We think you need these skills to ace Senior Statistician - Evidence Synthesis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied statistical methods and evidence synthesis. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your enthusiasm for the position and explain why you’re the perfect fit for our team. Be sure to mention your experience with mixed treatment comparisons and any relevant software skills.
Showcase Your Communication Skills: Since excellent verbal and written communication skills are key for this role, make sure your application reflects that. Keep your language clear and concise, and don’t forget to proofread for any sneaky typos!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re proactive and keen to join our friendly team!
How to prepare for a job interview at SCIRIS
✨Know Your Stats
Brush up on your statistical methods, especially meta-analysis and mixed treatment comparisons. Be ready to discuss your experience with Bayesian methods and how you've applied them in past projects. This will show your depth of knowledge and enthusiasm for the role.
✨Showcase Your Project Management Skills
Prepare examples of how you've managed statistical projects in the past. Highlight your ability to plan, liaise with clients, and oversee the work of other statisticians. This will demonstrate your proactive nature and leadership skills, which are crucial for this position.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. Since excellent verbal and written communication skills are essential, consider preparing a brief presentation on a past project. This will help you convey your ideas effectively during the interview.
✨Engage with the Team Culture
Research Source's team culture and values. Be prepared to discuss how you can contribute to their supportive environment. Showing that you align with their focus on high-quality evidence-based solutions will make you a more attractive candidate.
