[Hiring] Consultant Health Economist / Data Scientist @Initiate

Role Description

We are seeking a Senior Health Economist / Data Scientist to support the development of health economic models, analytical platforms and software for health economics and outcomes research. This role is ideal for a candidate with a strong quantitative background, excellent R / C++ programming skills and an interest in applying software development approaches to complex healthcare questions.

• You will work on fast-paced client projects.
• Contribute to the development of health economic modelling platforms in R and Shiny.
• Help create practical, robust and transparent tools that support evidence-based healthcare decisions.
• Opportunities to contribute to research, teaching and the continued development of Dark Peak’s technical methods and software.
• The role is fully remote, with optional access to offices in London and Northamptonshire.

Qualifications

• An MSc in health economics, economics, statistics, data science, operational research or another relevant quantitative discipline, or equivalent relevant professional experience.
• Demonstrable experience of independently delivering quantitative analysis, health economic modelling or analytical software development in a consulting, pharmaceutical, academic, healthcare or comparable environment.
• Strong programming skills in R.
• Practical experience of Git and GitHub or comparable version-control tools.
• Some previous experience of Microsoft Excel.
• A sound understanding of quantitative research and analytical methods.
• The ability to write clear, reproducible and well-documented code.
• Strong analytical and problem-solving skills.
• Good project-management and organisational skills, with the ability to manage multiple priorities and deadlines.
• Clear written and verbal communication skills.
• The ability to work effectively both independently and as part of a remote team.

Requirements

• A PhD in health economics or another relevant quantitative discipline (desirable).
• Previous experience of cost-effectiveness or budget-impact modelling (desirable).
• Experience of developing applications or analytical interfaces using Shiny (desirable).
• Experience of software development for HEOR (desirable).
• Knowledge of international health systems and HTA processes (desirable).
• Experience of healthcare data analysis or clinical trial interpretation (desirable).
• Experience of consulting or other client-facing work (desirable).
• Familiarity with model validation, quality assurance and technical documentation (desirable).
• Experience of teaching, training or communicating technical concepts (desirable).
• Knowledge of additional programming languages, including C++, would be an advantage (desirable).

Benefits

• The opportunity to work on innovative health economic models, analytical platforms and software tools.
• A varied role spanning health economics, data science, software development, research and teaching.
• Fast-paced projects with real responsibility and ownership.
• A collaborative environment with opportunities to learn from specialists across health economics, statistics, data science, HEOR, HTA and market access.
• Direct client interaction and exposure to business development.
• Support for professional development and career progression.
• Opportunities to meet colleagues at conferences, team events and in our London or Northamptonshire offices.
• Competitive salary.
• Birthday off.
• 25 days’ holiday, excluding bank holidays.
• Three additional “Privilege Days” at Christmas.
• Personalised development programme, including training, ongoing support and opportunities for career progression.
• Use of an onsite gym and/or a subsidised gym membership.
• Healthcare insurance and life insurance are planned for introduction during 2027, subject to final confirmation, eligibility requirements and the applicable scheme terms.