Programmer R – Confirmed M/F

TN France; France; Sur place; EUR 40 000 - 70 000; Plein temps

Résumé du poste

An innovative firm is seeking a skilled Programmer R to join their dynamic team in the Life Sciences sector. This role involves developing R packages for network meta-analysis and ensuring the quality of deliverables that impact clinical research. You will collaborate with various teams to interpret data and support scientific arguments for accessing essential medicines and vaccines. Join this forward-thinking organization to make a meaningful contribution to clinical research and enhance your expertise in a collaborative international environment.

Qualifications

• Expertise in developing R packages for data analysis.
• Strong background in statistical programming and data validation.

Responsabilités

• Support development of scientific arguments for medicine access.
• Collaborate with teams to interpret results and retrieve data.
• Ensure quality and compliance with programming standards.

Connaissances

R Programming

Statistical Analysis

Data Interpretation

Quality Assurance

Formation

Master's in Life Sciences

Bachelor's in Computer Science

Outils

R

Statistical Software

Description du poste

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Are you a highly skilled professional with a passion for the world of Life Sciences and Clinical Research? Do you want to thrive in a dynamic and collaborative international environment where your expertise directly impacts people's lives?

Come and join Aixial Group to contribute to shaping the future of clinical research!

To support our analysis and statistical programming activities, we are recruiting a Programmer R – Confirmed M/F. Your main responsibilities will include (but are not limited to):

1. Supporting the development of scientific arguments to facilitate access to medicines and vaccines.
2. Collaborating with various programming teams to gather and interpret results by retrieving required data.
3. Validating activities according to standard procedures, contributing to the development of the library.
4. Developing an R package for network meta-analysis.
5. Ensuring the quality of deliverables and compliance with the department’s SOPs and good programming practices.