Consultant - Biostatistics & Health Economics

Consultant - Biostatistics & Health Economics

Start: Spring 2025

Salary: Competitive, dependent on experience

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 and provides expert statistical and economic analysis to support healthcare decision-making, market access, and policy development. They apply advanced biostatistical techniques and health economic modeling to generate real-world evidence, assess the cost-effectiveness of medical interventions, and contribute to regulatory submissions. Working collaboratively with cross-functional teams, they ensure the delivery of high-quality analytical insights that drive data-informed healthcare strategies.

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:

In this role, you will:

1. Provide statistical expertise for economic modelling and health outcomes research.
2. Conduct network meta-analyses (NMA), matching-adjusted indirect comparisons (MAIC), and other treatment comparisons.
3. Analyse clinical trial data, including survival analysis and regression modelling.
4. Support real-world data analysis using observational studies and electronic health records.
5. Collaborate with health economists and medical writers to deliver high-quality insights.
6. Communicate statistical results to clients, regulatory bodies, and healthcare organisations.
7. Contribute to publications, conference presentations, and thought leadership in health economics.
8. Participate in business development by drafting proposals, pitches, and other materials.
9. Represent Initiate Consultancy at conferences and seminars, with occasional overseas travel.

About you

Essential:

• Master's or PhD in Biostatistics, Statistics, Health Economics, or a related quantitative field.
• Strong understanding of statistical methods for health economics, including survival analysis and mixed-effects regression modelling.
• Experience in indirect treatment comparisons, including NMA and population-adjusted methods.
• Proficiency in R for statistical analysis.
• Strong problem-solving skills and ability to interpret complex data.
• Strong written and verbal communication skills.

Desirable:

• Experience with HTA submissions (e.g., NICE, SMC, NCPE) and real-world data.
• Familiarity with advanced survival analysis techniques (e.g., cure modelling).
• Knowledge of machine learning applications in health economics.
• Understanding of cost-effectiveness modelling and decision-analytic frameworks.
• Proficiency in SAS/SQL.
• Previous experience in consulting or working with pharmaceutical 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