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- Tasks: Lead advanced statistical projects and develop innovative analytical solutions in healthcare.
- Company: Respected healthcare research consultancy with a focus on advanced analytics.
- Benefits: Competitive salary, leadership opportunities, and exposure to cutting-edge AI workflows.
- Why this job: Make a real impact on strategic healthcare decisions while pushing methodological boundaries.
- Qualifications: Master’s or PhD in statistics or related field with 6-8+ years of experience.
- Other info: Collaborative team environment with clear scope for technical development.
The predicted salary is between 60000 - 80000 £ per year.
An exciting opportunity for an experienced Statistics Manager / Associate Director to join a highly respected healthcare research consultancy in South Manchester (The position can be based in London too).
You’ll be part of a specialist Advanced Analytics team, working at the forefront of applied statistics, AI integration and interactive tool development. This is a role for someone who thrives on complex problem-solving, enjoys pushing methodological boundaries, and wants to see their work directly influence strategic healthcare decisions.
If you’re passionate about advanced modelling, commercial impact and building smart, efficient analytical solutions, this could be your next step.
Everything you need to know about the role:
- Partner with research teams to shape study designs that enable robust, insightful analysis
- Lead the development, validation and refinement of advanced statistical models
- Apply a wide range of multivariate and advanced techniques including regression, conjoint/discrete choice, segmentation, pricing models, structural equation modelling and more
- Build and enhance simulation tools, dashboards and interactive applications (e.g. R-Shiny, Excel/VBA, Python, Power BI)
- Drive efficiencies through automation of data checking, model workflows and reporting outputs
- Contribute to the integration of AI into analytics processes to enhance value and innovation
- Act as a senior statistical voice in proposals and client discussions, clearly explaining complex outputs to non-technical audiences
- Lead analytic brainstorming sessions to solve complex or bespoke client challenges
- Develop internal best-practice standards, documentation and quality control frameworks
- Coach and mentor colleagues on statistical techniques, coding and model development
- Balance commercial awareness with analytical rigour, ensuring solutions are both methodologically sound and business-relevant
This is a highly collaborative position where you’ll work closely with project teams while also operating independently on technically complex modelling challenges.
Experience and qualities that make you a strong fit:
- A Master’s or PhD (or equivalent applied experience) in statistics, mathematics, data science or a related discipline
- 6–8+ years’ experience applying advanced statistical techniques in a commercial or research environment
- Strong expertise across multivariate methods including regression (linear, multinomial, ordinal), conjoint/discrete choice, segmentation and driver analysis
- Experience with modelling categorical and ordinal data (logit/log-linear approaches)
- Hands-on experience with data manipulation, weighting, significance testing and sample size calculations
- Experience building simulation models, war gaming tools or interactive dashboards
- Knowledge of advanced methods such as SEM, PLS-PM, Bayesian approaches, hierarchical models, latent class models, Hidden Markov Models, Monte Carlo methods or time-series forecasting
- Exposure to machine learning techniques (e.g. k-means, Gaussian mixtures, SVM), with neural networks or Kohonen maps as a bonus
- Advanced use of R, plus at least two of the following: Sawtooth (CBC/HB), SPSS, Python, SAS, Matlab, XLStat, GitHub
- Ability to combine survey data with secondary sources for validation and modelling
- Strong experimental design experience
Alongside technical depth, you’ll be:
- A clear communicator who can translate complex outputs into meaningful business insight
- Comfortable juggling multiple deadlines in a fast-paced, client-driven environment
- Naturally collaborative and energised by team brainstorming
- Detail-focused, organised and commercially aware
- Confident leading discussions with both technical colleagues and senior clients
What’s on offer?
- A role at the cutting edge of healthcare analytics
- Opportunity to shape and evolve advanced statistical offerings
- Exposure to innovative AI-enabled workflows
- A collaborative, intellectually curious team environment
- Real influence on strategic healthcare decisions
- Clear scope for leadership and continued technical development
Could this be the role for you? If you’re ready to take on this exciting opportunity and bring your expertise to a company that’s shaping the future of healthcare, we’d love to hear from you. Please apply below or send your CV and a brief cover letter to.
Locations
Statistics Specialist in Cheshire, Warrington employer: Carrot Recruitment
Contact Detail:
Carrot Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistics Specialist in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your advanced statistical models and interactive dashboards. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle complex scenarios and explain your thought process clearly. Remember, they want to see how you think!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Statistics Specialist in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in advanced statistical techniques and any relevant projects you've worked on. 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 healthcare analytics and how your background aligns with our needs. Be sure to mention specific examples of your work that demonstrate your problem-solving skills.
Showcase Your Technical Skills: Since this role involves advanced modelling and tool development, make sure to list all relevant software and programming languages you’re proficient in. We love seeing hands-on experience with tools like R, Python, and any simulation models you've built.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Carrot Recruitment
✨Know Your Stats Inside Out
Make sure you brush up on your advanced statistical techniques before the interview. Be ready to discuss methods like regression, SEM, and Bayesian approaches in detail. They’ll likely want to see how you can apply these concepts to real-world healthcare problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using statistical methods. Think about specific projects where your analytical skills made a significant impact. This will demonstrate your ability to thrive in challenging situations, which is key for this role.
✨Familiarise Yourself with AI Integration
Since the role involves integrating AI into analytics, it’s crucial to understand how machine learning techniques can enhance statistical models. Brush up on relevant tools and be ready to discuss how you’ve used or would use AI in your work.
✨Communicate Clearly and Confidently
Practice explaining complex statistical concepts in simple terms. You’ll need to convey insights to non-technical audiences, so being able to articulate your thoughts clearly will set you apart. Consider doing mock interviews to refine your communication style.