The Emerald Group Ltd, Search and Selection
MANAGER, MEDICAL ANALYTICS R&D 30028

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Overview
Key responsibilities include but are not limited to:
- You will support the Head of Medical Analytics with managing and conducting health-related analytical projects, with a core remit of supporting basis development, pricing, and underwriting rules for UK individual and enhanced annuities products.
- Responsibilities include:
- Planning
- Evidence synthesis
- Data sourcing
- Data analysis
- Model design
- Validation
- Results communication
- As part of these projects, you will be transforming quantitative and qualitative analysis into assumptions and uplifts for use in the rest of the business.
- Conducting analytical projects to support UK individual and enhanced annuities basis development.
- Contributing to analytical projects in the Medical Analytics or wider R&D team.
- Contribute to wider research initiatives such as thought leadership articles and building relationships with relevant health analytics networks.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Qualifications Required
- Qualified Fellow of the Institute or Faculty of Actuaries or other similar actuarial organisation.
- Or advanced qualification in a health-related subject (e.g. Masters/PhD in Epidemiology, Biostatistics, Health Data Science, or Health Economics).


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Experience Required
- Excellent organisational skills and able to coordinate the work of multi-disciplinary teams in fast-paced commercial settings.
- Proficient in turning quantitative and qualitative insights into practical and actionable outcomes.
- Experience in explaining complex technical or commercial issues to a variety of audiences, via written and spoken communication.
- Knowledge of modelling techniques such as survival models, disease progression models, simulation models, intervention models, and causal inference.
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