Statistics & Modelisation Engineer

Job description

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.

 

With over 180,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.

The content of the position is in English as it requires many interactions with our international subsidiaries, English being the working language.

 

Within the Essilor Instruments department, the Statistics & Modelisation Engineer will join the Scientific Department, under the responsibility of the Technological Innovation Team Manager. He/She will join a team responsible for delivering technological and mathematical innovations for creating new instruments and expand existing instruments.

 

What will be your areas of responsibilities: 

 

·  Create new modelling methods using advanced statistical techniques.
·  Deliver regulatory-grade protocols and reports with the use of state-of-the art software.
·  Support Lead Biostatistician in clinical studies and projects.
·  Contribute to bringing new ideas of products and functions to the Innovation Pipeline.

 

You will ideally bring the following technical skills:  

 

·  Fluent in coding with one or several of the following software: R, Statistica, SPSS, SAS, Python.
·  Practical knowledge of advanced statistical techniques such a multivariate analysis, non-parametric techniques, Bayesian inference, descriptive statistics and graphical methods
·  Clinical trials: experimental design and sampling strategy, sample size calculation, statistical analysis plans, study protocol drafting & reviewing.
·  Practical knowledge of machine learning tools
·  Literature search and analysis
·  Comfortable communicating in English is a must; French a strong plus
·  Curious, Eager to learn and grow
·  Interested in making a difference to the health of people

 

You will have the following profile and background:

 

·  Educational Background: Master’s Degree in Statistics, Biostatistics or Mathematics major (BAC +5)
·  PhD in STEM is optional
·  At least 3- 5 years’ experience in a technical role
·  A first experience with clinical data
·  An experience with clinical research and/or biostatistical model development would be an asset.

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