At a Glance
- Tasks: Lead innovative statistical projects and mentor junior team members in a dynamic environment.
- Company: Join a forward-thinking company focused on health economics and statistical excellence.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Other info: Collaborative culture with a focus on innovation and continuous learning.
- Why this job: Make a real impact in health research while working with cutting-edge statistical methods.
- Qualifications: Degree in a relevant field; advanced degree preferred; strong analytical skills required.
The predicted salary is between 60000 - 80000 € per year.
Introduction & Role Purpose
The Technical Manager – Statistics is a senior specialist responsible for providing deep technical and strategic support and delivery within the statistical domain. The role focuses on methodological input, project delivery and quality assurance, training, and business development.
Core Knowledge
- Deep expertise in statistical analysis methodologies, including advanced and innovative techniques.
- Strong understanding of best practice in statistical design, execution, quality control, and interpretation.
- Knowledge of project economics, including budgeting, resourcing, timelines, and risk management for analytical deliverables.
- Awareness of emerging developments, tools, and technologies in statistical analysis and their application in consultancy and client work.
Critical Thinking & Attention to Detail
- Identify gaps, inconsistencies, and strategic misalignment in analytical approaches, proposing clear solutions proactively to safeguard project quality.
- Ensure QA processes are embedded across projects and rigorously followed.
- Apply rigorous analytical thinking to ensure methodological accuracy, robustness, and consistency across projects.
- Review and challenge assumptions, methods, and outputs to maintain high technical and quality standards.
- Shape and review statistical deliverables, ensuring methodological appropriateness and precision.
Time Management & Collaboration
- Balance delivery responsibilities with advisory leadership and innovation responsibilities across multiple concurrent projects.
- Prioritise work effectively, particularly under tight or critical timelines.
- Foster cohesion and collaboration across functions, disciplines, and project teams.
Communication & Client Engagement
- Communicate complex statistical concepts clearly to internal teams and clients.
- Act as the statistical point of contact for clients, ensuring clarity around methods, assumptions, limitations, and results.
- Support client discussions and meetings by providing specialist input on statistical aspects of projects.
Project Management
- Operate as the technical counterpart to the project manager on relevant projects, internally managing teams when allocated to projects in a management capacity.
- Coordinate analytical tasks within project teams, ensuring appropriate delegation, documentation, quality control, and timely delivery.
- Support project planning by advising on analytical scope, resourcing, risks, budgets, and constraints.
Research and Evidence
- Ensure analyses are grounded in appropriate evidence, best practice methodologies, and current statistical standards.
- Keep abreast of developments in statistical research and translate relevant advances into project work and internal practice.
- Contribute to the development of publication plans and research outputs, including project-based and methodological publications.
Data Analysis & Interpretation
- Lead or support the delivery of complex statistical analyses, including hands-on delivery where this improves quality or accelerates timelines.
- Provide analytical leadership on projects requiring advanced or innovative methods.
- Maintain oversight of statistical components across live projects, intervening when required to ensure consistency and technical excellence.
Writing, Storytelling & Deliverables
- Guide the production of high-quality statistical outputs that align with strategic objectives.
- Develop and refine templates, QC processes, and standard deliverables to improve clarity, efficiency, and consistency.
- Support the creation of a range of outputs, including technical reports, publications, and externally facing content.
Innovation
- Work with the Innovation team to identify new avenues for innovation, particularly in the statistical realm.
- Support and lead on projects that drive the business forward with regards to innovation, ensuring the use of cutting-edge techniques and methodologies.
Business Development
- Provide methodological input and budget support for proposals and bids involving statistical components.
- Support accurate scoping of timelines, resources, and costs for statistical work in the pipeline.
- Ensure proposals accurately reflect appropriate methodologies and the capabilities of the team.
People Leadership
- Mentor and manage junior team members, supporting their technical development and growth, particularly in statistics.
- Provide on-project coaching and training to upskill team members.
- Work with Learning & Development to identify skills gaps and design and deliver technical training programmes.
- Actively maintain and develop own expertise through training, networking, and engagement with internal and external experts.
Career Development
- Set technical direction and standards across multiple projects and workstreams.
- Develop deeper client-facing credibility, increasingly representing the business as a senior technical authority.
- Deliver sustained high-impact, complex work with minimal oversight.
- Demonstrate influence beyond immediate projects or teams.
- Contribute to business growth, capability building, and strategic direction.
- Gain recognition as a go-to technical authority by peers, project leaders, and clients.
Qualifications and Experience
- Degree-level qualification (2.1 or above preferred) in a health-related, analytical, or numerical scientific discipline such as Health Economics, Public Health, Maths, Medical Statistics, Biostatistics, Statistics, Econometrics, Biochemistry, Natural Sciences, Life Sciences, Engineering, Operational Research.
- Advanced degree (MSc, MRes, MBA, PhD) strongly preferred in Health Economics, Biostatistics / Medical Statistics, Epidemiology, Mathematics / Econometrics, or other analytical, quantitative, or health-related disciplines.
Skills & Capabilities
- Extensive experience within outcomes research and a solid understanding of other service areas.
- High proficiency in Excel, PowerPoint, and Word, with proven ability to review and refine others' work.
- Practical knowledge and proven ability in network meta-analysis, pairwise meta-analysis, indirect treatment comparison, survival analysis and extrapolations, health state utilities analysis, and within-trial patient-level data analysis.
- Experience providing statistical guidance to project teams, ensuring analyses withstand critique from the health economics and scientific community.
- Evidence of a high level of proficiency in reviewing and guiding the development of feasibility assessments, statistical analysis plans, conducting analyses and reporting.
- Experience across a broad range of treatment types and disease areas.
- Excellent statistical coding skills using R or other appropriate statistical software.
- Excellent IT and numerical skills including proficiency in Excel, Word and PowerPoint.
- Strong communication, stakeholder management, and facilitation skills.
Technical Manager – HEOR Statistics (open to Senior Manager / Director level) employer: Acumetis
As a leading employer in the field of health economics and outcomes research, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored training programmes and mentorship opportunities, ensuring that you can advance your career while contributing to impactful projects. Located in a vibrant area, our company promotes a culture of excellence, where your expertise in statistical methodologies will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Manager – HEOR Statistics (open to Senior Manager / Director level)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to statistical methodologies. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your responses.
✨Tip Number 3
Showcase your expertise! Bring along examples of your previous work or case studies that highlight your skills in statistical analysis and project management. This will help you stand out and demonstrate your value to potential employers.
✨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 Technical Manager – HEOR Statistics (open to Senior Manager / Director level)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Technical Manager role. Highlight your experience in statistical analysis methodologies and project management, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Showcase Your Expertise:Don’t hold back on showcasing your deep expertise in statistical analysis and quality assurance. Use specific examples from your past work to demonstrate your understanding of best practices and innovative techniques. This is your chance to shine!
Be Clear and Concise:When writing your application, clarity is crucial. Avoid jargon and make complex concepts easy to understand. Remember, we value communication skills just as much as technical know-how, so keep it straightforward and engaging.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get a feel for our company culture while you’re at it!
How to prepare for a job interview at Acumetis
✨Know Your Stats Inside Out
Make sure you brush up on your statistical analysis methodologies. Be ready to discuss advanced techniques and how you've applied them in past projects. This role demands a deep understanding, so prepare examples that showcase your expertise.
✨Showcase Your Project Management Skills
Be prepared to talk about your experience with project economics, including budgeting and timelines. Highlight specific instances where you balanced multiple projects and ensured quality control. This will demonstrate your ability to manage complex deliverables effectively.
✨Communicate Clearly and Confidently
Practice explaining complex statistical concepts in simple terms. You’ll need to engage with clients and internal teams, so being able to communicate clearly is key. Think of examples where you successfully conveyed intricate ideas to non-experts.
✨Demonstrate Your Leadership Qualities
This role involves mentoring junior team members, so be ready to discuss your leadership style. Share experiences where you’ve coached others or led a team through a challenging project. Showing that you can inspire and develop talent will set you apart.
