Statistician (PhD)

2 weeks ago

Long Eaton Derbyshire, United Kingdom Delta Hat Limited Full time

A flexible, hybrid-working policy is in place, with all staff spending a proportion of working time in the office and a proportion at home.
Salary: Competitive salary (dependent on qualifications and experience), including a 10%-matched pension contribution and other benefits
This is a permanent role. We are looking for candidates who can work for a substantial proportion of the working week, although not necessarily full time.
Delta Hat is a consultancy based near Nottingham providing industry-leading analysis to the pharmaceutical sector, as well as directly supporting UK health technology assessment (HTA) decision-makers. We focus on technical aspects of evidence-based medicine and HTA, utilising methods such as cost-effectiveness modelling, propensity scoring, and meta-analysis including for survival and longitudinal endpoints. For the right candidate, we offer a rewarding opportunity to join a team with extensive experience, where high quality deliverables are valued, and knowledge sharing is encouraged.

At Delta Hat, we provide a high level of senior input to the projects we undertake. This means you would have the opportunity to spend the majority of your time working directly on projects, as opposed to managing projects at arm’s length. Day-to-day work will depend on your background and experience, though will most likely involve leading projects involving data analysis (such as health-related quality of life data, time-to-event data, etc.) or evidence synthesis (such as meta-analysis, indirect treatment comparison, etc.). The main tools we use are R, for analysis, and Microsoft Office applications. As well as a competitive salary, we offer generous amounts of annual leave and a flexible benefits package (including a 10%-matched pension contribution, additional annual leave purchase, electric vehicle scheme, cycle-to-work scheme, and matched charity donations). Further to this, an annual bonus is available, and share options are allocated annually. The ideal candidate will have several years of experience in using and developing statistical skills in a professional environment, with a proven track record of delivering projects. This may be in consulting, academia, the pharmaceutical industry, or a combination. Given the variety of work we undertake, we are open to statisticians with different types of experience, though ideally any experience would be in a field related to life sciences and/or evidence-based medicine.

Although experience is paramount, we anticipate that you hold a degree at 2:1 or above in an analytical subject (for instance mathematics, economics, engineering or scientific subject). Postgraduate qualifications (e.g., MSc or PhD) involving statistics or health economics are highly valued, but not an absolute requirement.

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