Global RWE Leader: Advanced Analytics & Evidence

Hyper Recruitment Solutions Ltd; United Kingdom; A distancia; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

VDI-only working environment

Descripción de la vacante

Hyper Recruitment Solutions Ltd in the United Kingdom seeks a Senior RWE Expert to lead global real-world evidence projects that inform strategic decisions, regulatory submissions and payer discussions.

You will develop RWE study designs, work with diverse populations and translate findings into scientific communications, with a focus on advanced analytics, AI and machine learning in pharmaceutical settings. This role operates in a secure VDI environment.

Formación

• Degree or higher in Epidemiology, Outcomes Research, Public Health or related scientific discipline, with a PhD desirable.
• Proven ability to lead global or regional RWE projects using primary and secondary data.
• Strong quantitative, methodological and scientific writing capabilities.

Responsabilidades

• Lead conceptualisation and delivery of global real-world evidence projects using primary and secondary data.
• Develop real-world data infrastructure for specific populations including women of childbearing age and paediatric groups.
• Apply advanced analytics, ML and AI to RWE study designs.
• Translate findings into high-quality scientific communications (abstracts, posters, manuscripts).
• Collaborate with stakeholders across pharma, clinical, scientific and healthcare communities.

Conocimientos

Epidemiology expertise

Outcomes research

Data analysis

Scientific writing

Project leadership

Educación

Degree in Epidemiology/Public Health

PhD in Epidemiology or Outcomes Research desirable

Descripción del empleo

Hyper Recruitment Solutions Ltd in the United Kingdom seeks a Senior RWE Expert to lead global real-world evidence projects that inform strategic decisions, regulatory submissions and payer discussions.

You will develop RWE study designs, work with diverse populations and translate findings into scientific communications, with a focus on advanced analytics, AI and machine learning in pharmaceutical settings. This role operates in a secure VDI environment.