- Developing statistical analysis plans
- Performing and reporting statistical analysis as standalone research or for input into health economic models
- Contributing statistical input into reimbursement submissions for health technology agencies
- Survival analyses (in particular, fitting curves to survival data that enable estimation of long-term survival beyond the trial data)
- Indirect treatment comparisons (using evidence from clinical trials to form comparisons between treatments that have not been compared head-to-head within a clinical trial)
- Analyses of clinical trial data (. estimating patients' quality of life in certain states of health)
- Analyses of observational data/real-world evidence
- Producing an abstract, poster or manuscript to report the findings of a statistical analysis
- Participating in meetings with fellow team members or clients
- A BSc or MSc in Statistics or Mathematics
- PhD and/or commercial experience working within Statistics
- Excellent numerical skills and critical thinking with the ability to explain statistical analysis and ideas clearly and simply, both verbally and in writing
- Excellent oral and written communication skills with a view to liaising with technical and non-technical clients (both internally and externally)
- Written English to a professional scientific writing standard
- The ability to work both independently and in a multidisciplinary team environment
- Organisational skills with close attention to detail and personal time management
- Computer literacy and the ability to confidently use Microsoft Office packages
- Programming skills in SAS or R (valuable but not essential)
- Competitive salary plus bonus scheme
- Course fees and paid study leave if the MSc is undertaken
- 33.5 days paid leave including bank holidays and year end office closure
- Pension scheme
- Private healthcare
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Statistician - Sheffield, United Kingdom - Lumanity
Description
Overview
/ About usLumanity 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 complimentary areas of focus: Asset Optimization and Commercialization, Value Access and Outcomes, Medical Strategy and Communications, and Real-World Evidence.
We are seeking a statistician to join our growing and collaborative global health economics and outcomes research (HEOR) team. HEOR is a rapidly developing and increasingly important field due to aging populations and the increasing burden of healthcare. Our HEOR - Modelling and Analytics team works within Lumanity Value Access and Outcomes, which serves our clients by identifying, substantiating, and conveying the value of ground-breaking medical advances.. The tools developed by health economists and statisticians are widely used for evaluating the clinical and economic value of drugs and devices. This process requires economists, statisticians, and clinical writers with a capacity for finding creative solutions to challenging health technology assessment (HTA) problems. Solving such problems necessitates quantitative expertise, as well as an in- depth understanding of the theoretical frameworks employed to assess value in a healthcare setting.
Responsibilities / Position overview
This is a perfect opportunity for a self-motivated Statistician looking to gain experience in the HEOR and Health Technology Assessment (HTA) field, having recently completed a PhD in the field and / or some commercial experience.
The statistician will use statistical solutions to investigate and demonstrate what would happen to patients on a new health technology (drug, device, diagnostic technique, . This requires close teamwork both cross-functionally within Lumanity and with our clients. The job requires attention to detail, an inquisitive mindset and a desire to learn both technically (statistically) and more broadly (. understanding disease areas). We will support you with both internally and externally delivered training to enable you to grow into the role and further develop the key skill sets for this position.
Duties and responsibilities include:
The Modelling and Analytics team have a hybrid work-setting approach. You will need to be within commuting distance of one of our UK or Netherlands offices in Utrecht, Sheffield, London, or Manchester. We believe time in the office with other team member is key for your development as a statistician. However, we also recognise that flexibility around working location is important for a healthy work-life balance.
Qualifications
Benefits
We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance.
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