Scientific Programmer

4 days ago


London, Greater London, United Kingdom Evidencia Scientific Search and Selection Limited Full time
Principal (Senior Programmer and Project Manager) Real World Evidence & Data Analytics

A great opportunity to join Evidencia Scientific Search and Selection Limited, an international healthcare consultancy providing value evidence strategy, generation, synthesis, and communication services to life sciences companies.

Delivering these services empowered by technology innovations has enabled us to become a trusted partner with our clients across the development and commercialization life cycle.

Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical, and therapeutic data, we help our clients make informed decisions and develop efficient and error-free code using SAS/R and SQL.

We are looking for a skilled Scientific Programmer to join our team and contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience.

The ideal candidate will have a strong background in R/SQL/SAS and statistical methods, with experience developing and implementing statistical analysis plans utilizing real-world data.

Key responsibilities include:

  • Developing and implementing statistical analysis plans utilizing real-world data
  • Conducting quantitative and qualitative analyses
  • Producing and presenting client-ready tables and charts with strong aesthetics
  • Contributing to the development and growth of protocols and statistical analysis plans
  • Supporting proposal development and client meetings

We offer a dynamic and challenging work environment, with opportunities for professional growth and development. If you are a motivated and experienced Scientific Programmer looking for a new challenge, please apply.

Requirements:

  • 3+ years relevant work experience (consulting, CRO & industry backgrounds considered)
  • Demonstrated knowledge of R/SQL/SAS and statistical methods over several years
  • Experience developing and implementing statistical analysis plans utilizing real-world data

Preferred qualifications:

  • Masters, MPH or PhD in a relevant field

Language: English



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