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- Tasks: Lead statistical analyses in health economics and collaborate with cross-functional teams.
- Company: Join Lumanity, a leader in improving patient health through innovative research.
- Benefits: Enjoy generous leave, comprehensive healthcare, and competitive pay.
- Why this job: Make a real impact in health research while developing your skills in a flexible environment.
- Qualifications: Postgraduate degree in statistics and experience in HEOR or HTA required.
- Other info: Flexible remote work options and opportunities for professional growth.
The predicted salary is between 46800 - 78000 ÂŁ per year.
Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complementary areas of focus: Asset Optimization and Commercialization, Value Access and Outcomes, Medical Strategy and Communications, and Real‑World Evidence.
We are seeking a seasoned Statistician with a background in Health Economics and Outcomes Research (HEOR)/Health Technology Assessment (HTA) to join our HEOR Research team. In this senior level role, the statistician will play a key and influential role and contribute to the growth and evolution of the team.
- Survival analyses
- Parametric survival analyses
- Adjustments from treatment switch/cross‑over within clinical trials
- Indirect treatment comparisons
- Network meta‑analyses
- Population‑adjusted indirect comparisons (e.g. matching‑adjusted indirect comparisons)
- Time‑varying indirect treatment comparisons (e.g. fractional polynomials)
- Analyses of clinical trial data (e.g. quality of life)
- Analyses of observational data / real‑world evidence
- Statistical input into reimbursement submissions to health technology agencies
The successful candidate should be motivated to learn and apply new methodologies and techniques in the evolving field of HTA and reimbursement. Close collaboration, both within the Statistics team, wider Research team and cross‑functionally with the HEOR Consulting team, is an essential part of the role. The role is external‑facing and requires professional excellence in client and other external stakeholder interactions.
The role can be tailored to an individual candidate’s strengths and aspirations, but will include a mix of responsibilities including strategic input and oversight of statistical content on projects, collaboration internally and externally with experts in specific fields, programming, writing (planning, reporting, manuscripts and submission documents), quality control, mentoring, training, line management, and for the suitable candidate, research and development opportunities. This opportunity offers flexible work setting options to suit individual needs. This can be fully remote with options to work in any of our offices as needed, if preferred.
The ideal candidate is an enthusiastic statistician that enjoys investigating new methods, supporting and coaching other statisticians and health economists, and has the vision and flexibility required to contribute to the growth and evolution of the business.
- Postgraduate qualification (MSc, PhD) in a statistical/mathematical topic
- Multiple years of professional experience in planning, performing and reporting statistical analyses within a HEOR consultancy, HTA agency, biostatistics or contract research organization (CRO) environment
- Experience with Bayesian methods and techniques such as MCMC or HMC implemented using software such as JAGS, OpenBUGS or Stan including the capability to adapt existing models is essential.
- Experience in health research with one or more of the following:
- Use of hierarchical models for statistical modelling and data synthesis
- Population‑adjustment methods and/or time‑varying network‑meta‑analysis methods for evidence synthesis
- Extrapolation of long‑term survival outcomes, including flexible methods (e.g. parametric survival methods incorporating splines or fractional polynomials)
- Adjustment of survival time estimates for treatment switching, including advising on the most suitable method
- Joint synthesis of related endpoints and application to surrogate endpoint relationships
Time breakdown:
- 85% project delivery
- 10% ongoing professional development
- 5% leading or coaching
Benefits:
- Generous Annual Leave package
- Comprehensive healthcare
- Competitive compensation
Compensation: A range, mid‑point of $130,000
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Research, Analyst, and Information Technology
Industries: Wholesale Drugs and Sundries
Senior Statistician in London employer: Lumanity Inc
Contact Detail:
Lumanity Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistician in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, webinars, or local meetups related to health economics and outcomes research. You never know who might have a lead on your dream job!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Bayesian methods and survival analyses. Share specific examples of how you've tackled complex statistical problems in past roles.
✨Tailor Your Approach
Every interaction is an opportunity! Whether it’s a casual coffee chat or a formal interview, tailor your conversation to show how your skills align with Lumanity's mission. Talk about how you can contribute to their HEOR team and help improve patient health.
✨Apply Through Our Website
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 Lumanity team.
We think you need these skills to ace Senior Statistician in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Health Economics and Outcomes Research. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our team. Remember, we love enthusiasm and a good story!
Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially in R and any Bayesian methods you’ve used. We’re looking for someone who can bring their technical expertise to the table, so let us know what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Lumanity Inc
✨Know Your Stats Inside Out
Make sure you brush up on your statistical methods, especially those relevant to Health Economics and Outcomes Research. Be ready to discuss survival analyses, Bayesian methods, and how you’ve applied these in past projects. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Communication Skills
Since the role involves liaising with both technical and non-technical clients, practice explaining complex statistical concepts in simple terms. Prepare examples of how you've successfully communicated findings to diverse audiences, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as this position requires close work with various teams. Think of specific instances where you’ve worked cross-functionally or mentored others, and be ready to share how you contributed to team success and project delivery.
✨Demonstrate Your Passion for Learning
The ideal candidate is someone who enjoys learning new methodologies. Be prepared to discuss any recent techniques or tools you’ve explored, and express your enthusiasm for staying updated in the evolving field of HTA and reimbursement. This will show that you’re proactive and committed to professional growth.
