Source Health Economics
Statistician
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Source Health Economics
Source Health Economics is an HEOR consultancy specialising in value communication, health economics, systematic review, statistics, and health technology assessment.
At Source, we have a technically excellent, supportive, and friendly team, and pride ourselves on our inclusive and collaborative culture. Our core values are excellence, balance, and growth. We strive to:
- Deliver excellence for our clients and patients,
- Preserve a good work-life balance and supporting employee well-being, and
- Provide opportunities for growth for our employees.
We recruit some of the brightest minds and invest in your professional development.
Why work with us?
Source is a fun, personable company, where our technical teams work closely with each other, enabling us all to learn from some of the best minds in the business. We value our employees, and all employees are encouraged to voice their ideas and contribute to business initiatives, regardless of seniority. Source prides itself on its commitment to employee welfare, as evidenced by our high employee retention.
We have open-plan offices in Oxford, Manchester and central London, with hybrid working. Our contractual working hours are 37.5 hours per week, with flexible start and finish times around our core company hours of 10 am to 4 pm.
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Alongside an opportunity to actively contribute to a growing company, we offer a competitive salary, 25 days annual leave plus UK bank holidays, option to buy additional annual leave, discretionary bonus scheme, opt-in employee health insurance, employee life insurance, cycle to work scheme, and above-average employer pension contributions.
The role
As a Statistician you will be in a client-facing role and work closely and collaboratively with the project managers, systematic review analysts and health economics teams to deliver high-quality evidence-based solutions for our clients.
You will be required to work on statistical projects including, but not limited to:
- Indirect treatment comparison feasibility assessments and statistical analysis plans
- Meta-analyses, network meta-analysis and population-adjusted indirect comparisons
- Patient-level data analysis, including post-hoc analysis of clinical trial and observational data
- Quality assurance review of statistical models
- Involvement in client meetings to provide updates on methods, progress and results
- Report preparation and presentation to clients, including publications to conferences and peer-reviewed journals
- Client liaison within a project, with the support of a project lead
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You will need:
- A post-graduate degree in medical statistics, statistics or similar
- Experienced in using statistical software packages and a willingness to learn other languages to suit client needs (e.g., R, Stata)
- Experience of working with patient level data or large individual level data sets
- Ability to implement survival analysis, generalised linear models, multilevel models and to draw inference between parameters and clinical endpoints
- At least 2 years’ experience of undertaking statistical analyses within a consultancy, academia, the NHS or a pharmaceuticals or devices company
- Experience analysing real-world datasets used within the UK (e.g. HES, CPRD) and exposure to Bayesian approaches for evidence synthesis are desirable.
Source is part of Sciris. Sciris specialises in bespoke programmes in health economics and outcomes research, healthcare communication, creative and brand strategy, medical compliance, insights, and insights.
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