STATISTICS STUDY ENGINEER - M/F

ABOUT THE STRUCTURE:

IDESP aims to understand the development and evolution of chronic diseases that affect more than 30% of the population and account for 80% of healthcare expenditures. To do this, the joint research unit uses a new approach that takes into account the environment in a broad sense and care trajectories through multimodal and exposomic markers (clinical, biological, behavioral, psychological, social, environmental) and relies on the power of mathematics dedicated to big data. Its purpose is to design optimized care and prevention pathways for relevant patient targets. Allergic and respiratory diseases, diabetes, obesity, kidney diseases, vascular diseases, inflammatory rheumatism, and cancers feed the initial modeling.

MAIN MISSION:

The recruited person's main mission will be to organize the collection, management, preparation of data, and their statistical processing using the statistical and IT tools best suited to the context of a study, and also to develop the sequence of processing, from the choice of existing methods to the analysis of results and their dissemination.

MAIN ACTIVITIES:

• Organize the data processing chain, from collection to statistical analysis
• Choose and apply the most relevant existing statistical methods on data corpora
• Provide advice to users who need to implement statistical methods and tools
• Ensure the implementation of surveys and statistical studies
• Write documentation for users of the processing chains
• Develop specific programs to take into account the particularities of a statistical study
• Determine the most suitable and high-performance software for the study or project in progress
• Participate in writing reports and summaries presenting the results of statistical analyses
• Perform presentations and training to ensure a transfer of skills

JOB ENVIRONMENT:

Integration into an academic research team involved in high-impact public health projects.

WORKING CONDITIONS:

Teleworking: yes

Full time: 38h30

Annual leave and RTT: 44 days

Profile sought:

KNOWLEDGE:

• Mastery of statistical and IT techniques for data collection and processing
• Mastery of SAS and R programming languages

SKILLS:

• Ability to maintain a veille
• Ability to process data
• Ability to implement a control system
• Ability to use statistical software
• Ability to build and manage a database
• Ability to write documentation for users
• Ability to program in various IT environments
• Ability to write and present scientific data rigorously
• Ability to interact effectively with the various scientific stakeholders of the project

APTITUDES:

• Rigor
• Team spirit
• Intellectual curiosity
• Analytical reasoning

EXPERIENCE LEVEL:

• Beginners accepted
• First experience in epidemiology or biostatistics is appreciated

DEGREE LEVEL:

• Minimum Bac +3 level in the field of expertise
• Minimum B2 or C1 level in English

REMUNERATION LEVEL:

• From 2,445.87 euros gross per month
• Remuneration re-evaluated based on professional experience in positions of an equivalent level