Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 AI workflows.
- Other info: Collaborative team environment with clear scope for technical development.
- Why this job: Make a real impact on healthcare decisions while working with cutting-edge technology.
- Qualifications: Master’s or PhD in statistics or related field with 6-8+ years of experience.
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 chris@carrotrecruitment.com
Statistics Specialist in Manchester employer: Carrot Recruitment
Contact Detail:
Carrot Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistics Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your advanced statistical models and interactive dashboards. This is your chance to demonstrate your expertise and creativity, so let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex statistical concepts to non-technical audiences, so practice simplifying your language and making your insights accessible.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Statistics Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in advanced statistical techniques and any relevant projects you've worked on that align with the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how your background makes you a perfect fit. Don’t just repeat your CV; instead, share stories that showcase your problem-solving skills and collaborative spirit.
Showcase Your Technical Skills: Since this role involves advanced analytics and various programming tools, be sure to mention your proficiency in R, Python, and any other relevant software. Include specific examples of how you've used these tools in past projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
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 your experience with multivariate methods, regression models, and any specific tools you've used like R or Python. This will show that you're not just familiar with the concepts but can apply them effectively.
✨Prepare for Problem-Solving Scenarios
Expect to tackle complex problem-solving questions during the interview. Think of examples from your past work where you’ve successfully designed study approaches or developed analytical solutions. Practising how to articulate these experiences will help you shine.
✨Showcase Your Communication Skills
Since you'll need to explain complex outputs to non-technical audiences, practice simplifying your explanations. Prepare to discuss how you've communicated insights in previous roles, especially in client discussions or team settings. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Your Collaborative Spirit
This role is all about teamwork, so be ready to share examples of how you've worked collaboratively in the past. Highlight any experiences where you led brainstorming sessions or mentored colleagues. Showing that you thrive in a team environment will resonate well with the interviewers.