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- Tasks: Join our HEOR Research team to analyse health data and contribute to impactful projects.
- Company: Lumanity, a leader in improving patient health through innovative medical solutions.
- Benefits: Generous annual leave, comprehensive healthcare, and competitive salary.
- Why this job: Make a real difference in health outcomes while advancing your statistical skills.
- 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 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 employer: Lumanity Inc
Contact Detail:
Lumanity Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistician
✨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. Building relationships can lead to job opportunities that aren't even advertised.
✨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 to really impress them!
✨Tailor Your Approach
Every company is different, so do your homework on Lumanity and their projects. Tailor your conversations to show how your skills in HEOR and HTA can directly benefit their goals. This shows you're not just looking for any job, but that you're genuinely interested in contributing to their mission.
✨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 serious about joining the team at Lumanity and making a difference in patient health.
We think you need these skills to ace Senior Statistician
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 mentioned 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 take complex statistical methods and make them understandable, so give us examples of how you’ve done this before.
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 you’re serious about joining our team at Lumanity!
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 any specific techniques mentioned in the job description. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of complex statistical models and methodologies. Practice explaining these concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders. Use examples from your past work to illustrate your points.
✨Show Your Collaborative Spirit
Since the role involves close collaboration with various teams, be prepared to discuss your experience working in cross-functional environments. Highlight instances where you've successfully collaborated with others, mentored colleagues, or contributed to team projects. This will demonstrate your ability to thrive in a team-oriented setting.
✨Communicate Clearly and Confidently
Your ability to convey complex information in an understandable way is crucial. Practice summarising your past projects and findings in simple terms. During the interview, focus on maintaining eye contact, using clear language, and being confident in your responses to showcase your communication skills.
