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For Companies At a Glance
- Tasks: Lead advanced statistical analysis and provide actionable insights for HEOR projects.
- Company: Join Red Nucleus, a leader in life sciences solutions with over 30 years of experience.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by applying your statistical expertise to drive decision-making.
- Qualifications: Master’s or Ph.D. in Statistics or related field with 5+ years of relevant experience.
- Other info: Dynamic team environment with mentorship opportunities and cutting-edge statistical techniques.
The predicted salary is between 36000 - 60000 £ per year.
Red Nucleus is expanding and hiring a Director or Sr Director, HEOR Statistician. This role can be remote based in the US, Canada, or the UK.
Company Description
Red Nucleus is a premier provider of global solutions for R&D, Medical Affairs, Value & Evidence, and Commercial teams within biopharmaceutical, medical device, and diagnostics industries. Squarely focused on the life sciences industry for more than 30 years, Red Nucleus takes pride in our long-term relationships with industry leaders, as well as our strategic partnerships with innovative startups. We are focused on developing thoughtful, high-quality solutions that are in accordance with each client’s unique culture and needs. Our clients trust us to build impactful, award-winning programs that deliver actionable insights and measurable results.
Job Overview
The Principal Statistician will lead advanced statistical analysis for HEOR, meta-analysis and indirect treatment comparisons and real-world evidence analyses to support data-driven decision-making in the HEOR business unit. This role involves designing experiments, developing predictive models, and providing actionable insights to improve business strategies and outcomes. The ideal candidate is highly skilled in statistical methodologies, data interpretation, and communication of complex findings to non-technical stakeholders.
Responsibilities
- Statistical Analysis & Modeling:
Apply statistical methods commonly used in HEOR, including survival analysis, time-to-event modeling, mixed-effects models, generalized linear models. Conduct analyses of clinical trial IPD, real-world evidence (claims, registry, EHR), and patient-reported outcomes. Carry out indirect treatment comparisons (including the more advanced techniques such as MAIC, STC and ML-NMR). - Data Management & Quality:
Ensure data integrity and accuracy through rigorous validation and cleaning processes. Develop code library that is fully validated and ready to use. Implement automation where that is relevant and leads to better quality and improved results. Develop programmes/algorithms that can be used by more junior resources to perform relatively routine tasks related to the HEOR statistics and are already used by many of our competitors (e.g. survival curve reading and extrapolation, etc.). Work with Modeling team to understand the evolving need of inputs. - Reporting & Communication:
Prepare detailed protocols, reports, dashboards, and presentations for technical and non-technical audiences. Translate statistical findings into clear, actionable insights for business leaders. - Leadership & Mentorship:
Provide guidance and mentorship to junior statisticians. Stay current with emerging statistical techniques and tools. Share best practices with the team.
Education, Experience, Training, and Knowledge
- Education:
Master’s or Ph.D. in Statistics, Mathematics, Data Science, or a related field. - Experience:
5+ years of experience in statistical analysis and modeling in a business or research setting. Proven track record of applying advanced statistical methods to real-world problems. - Skills & Abilities:
Proficiency in statistical software (e.g., R, SAS, Python) and data visualization tools (e.g., Tableau, Power BI). Strong understanding of probability theory, hypothesis testing, and experimental design. Excellent analytical, problem-solving, and critical-thinking abilities. Strong communication skills to convey complex concepts clearly.
Locations
Director, Statistician (HEOR) in Cheshire, Warrington employer: Red Nucleus
Contact Detail:
Red Nucleus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Statistician (HEOR) in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to connections in the life sciences industry, especially those who work at Red Nucleus or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical methodologies and real-world evidence analyses. Be ready to discuss how you've applied these in past roles, as well as how you can bring value to the HEOR team at Red Nucleus.
✨Tip Number 3
Showcase your communication skills! Practice explaining complex statistical concepts in simple terms. This will be crucial when you're presenting findings to non-technical stakeholders, so make sure you can do it with confidence.
✨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 shows you're genuinely interested in joining the Red Nucleus team.
We think you need these skills to ace Director, Statistician (HEOR) in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director, Statistician (HEOR). Highlight your experience in statistical analysis and any relevant projects that showcase your skills in HEOR. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your expertise can contribute to our mission at Red Nucleus. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've applied statistical methods in real-world scenarios. This will help us understand your thought process and how you tackle complex problems.
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 that you’re genuinely interested in joining our team at Red Nucleus!
How to prepare for a job interview at Red Nucleus
✨Know Your Stats Inside Out
Make sure you brush up on your statistical methodologies, especially those relevant to HEOR. Be ready to discuss survival analysis, mixed-effects models, and any advanced techniques like MAIC or ML-NMR. The more confident you are in these areas, the better you'll impress your interviewers.
✨Showcase Your Communication Skills
Since this role involves translating complex findings for non-technical stakeholders, practice explaining your past projects in simple terms. Use examples that highlight how your insights led to actionable business decisions. This will demonstrate your ability to bridge the gap between data and strategy.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific statistical challenges or data integrity issues. Think through potential scenarios beforehand and prepare structured responses that showcase your problem-solving skills and experience in real-world evidence analysis.
✨Highlight Leadership and Mentorship Experience
If you've mentored junior statisticians or led teams, be sure to share those experiences. Discuss how you’ve guided others in applying statistical methods or developing code libraries. This will show that you're not just a statistician but also a leader who can elevate the team's capabilities.
