Senior Consultant - Biostatistics & Health Economics
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Initiate
Initiate is a global market access and health economics consultancy working with novel products to help people with rare or life-limiting disorders.
Our core values are collaboration, empowerment, integrity, and pragmatism. We seek to recruit extraordinary talent in those who not only hold these same values but have a passion to succeed, deliver and grow.
Job Purpose: To be a key member of our health economics team, which involves supporting clients to perform evidence generation and synthesis activities such as collating published evidence through scoping, targeted and systematic reviews and quantitative synthesis of estimates through meta-analyses and treatment comparisons. #
Activities will also include work related to epidemiological studies, disease management, unmet medical needs, the burden of disease, cost of illness, relative efficacy and safety, supporting strategic pricing and marketing, value proposition and communication. Experience in conducting systematic reviews would be desirable.
Responsibilities
We are seeking a talented Consultant - a Biostatistician in Health Economics, to join our dynamic team. You will be key in designing and implementing statistical models to support economic evaluations, health technology assessments (HTAs), and real-world evidence (RWE) studies. Your work will directly contribute to assessing healthcare interventions, ensuring that new treatments and technologies are clinically and economically viable. This position offers the opportunity to work on diverse projects that shape healthcare policies and patient outcomes globally.
As a consultant, you will be responsible for leading statistical components of projects, guiding clients on best practices in statistical methodologies, and ensuring robust and transparent analyses. You will have the opportunity to work on complex analysis of clinical trial data and indirect treatment comparisons, as well as explore innovative statistical techniques for handling real-world data.
Additionally, you will be involved in the interpretation and communication of results to key stakeholders, including pharmaceutical companies, government agencies, and healthcare organisations. You will also contribute to publications, conference presentations, and thought leadership in the field of health economics and biostatistics
Key Responsibilities:
• Apply advanced statistical techniques for economic modelling and health outcomes research.
• Design and conduct on network meta-analyses (NMA), matching-adjusted indirect comparisons (MAIC), and other indirect treatment comparison (ITC) methodologies.
• Design and conduct statistical analysis of clinical trial data, including the development and review of statistical analysis plan, survival analysis and regression analysis (including mixed-effects/hierarchical regression)
• Provide statistical expertise for real-world data analysis, including observational studies and electronic health records.
• Collaborate with health economists and medical writers to produce high-quality deliverables.
• Communicate complex statistical concepts and results to clients, regulatory bodies, and other stakeholders.
• Contribute to the development of methodologies, publications, and presentations.
• Participating in the business development activities of Initiate Consultancy, which may involve drafting and submission of proposals, pitches, and other business development materials.
• Participating in the dissemination and marketing activity of Initiate Consultancy. This might involve, for example, representing Initiate Consultancy at conferences, seminars and other external events. Occasionally, overseas travel will be necessary for meetings or conferences.
About you
Essential
• Master's or PhD in Biostatistics, Statistics, Health Economics, or a related quantitative field.
• Strong expertise in statistical methods for health economics, including parametric survival analysis and mixed-effects regression modelling.
• Experience in implementing ITC analysis, including NMA and population-adjusted methods.
• Proficiency working in R.
• Excellent problem-solving skills and ability to interpret complex data.
• Strong written and verbal communication skills.
Desirable
• Experience working with HTA submissions (e.g., NICE, SMC, NCPE) and real-world data.
• Experience in advanced survival analysis techniques (e.g. cure modelling).
• Experience in machine learning and artificial intelligence applications in health economics.
• Knowledge of cost-effectiveness modelling and decision-analytic frameworks.
• Proficiency working in SAS/SQL.
• Previous experience in consultancy or working with pharmaceutical industry clients.
• Ability to mentor junior statisticians and contribute to business development
Additional benefits
• Competitive salary
• Bonus scheme
• Birthday off
• 25 days holiday (excludes bank holidays)
• 3 days leave 'Privilege Days' at Christmas time
• Healthcare insurance scheme
• Life insurance
• Personalised development programme: the job holder will receive training, ongoing support and opportunities for personal development and career progression
• Use of onsite gym and/or subsidised gym