Junior Data Mining Statistician


Our client is an innovative company, located in Mont-Saint-Guibert, which is engaged in creating analytical tools with both research and clinical applications. The company strives to improve patient quality of life by supporting physicians’ and pharmaceutical/biotechnology companies’ efforts in identifying the right therapeutic for each individual patient.


You are looking for a professional challenge that allows you to join a fast-moving and young company in order to work in a Clinical Environment?

You want to bring your technical competences in order to conduct clinical data analysis for operational and R&D projects? New technologies is what drives you and your customer mindset allows you to deal with challenging deadlines?

Plus One can offer you this great challenge:

Your key responsibilities:

Conduct client data analysis and reporting under supervision of more senior staff. Depending on the seniority and level of autonomy, contribute/analyse, design, develop, support and maintain mathematical and/or statistical models for algorithm prediction according to guidance and instructions.

The function includes, but is not limited to:

  • Customers data: liaise with the customers to define data transfer, then process data and conduct analysis and reporting according to standard operating procedures,
  • Participation in clinical study related document writing,
  • Contribute to further development of methodology in relation with algorithms/prediction (using data mining, Bayesian modeling),
  • Participate in Development of web based applications of the Company Multimodal Companion Diagnostic Tools,
  • Communication about research and findings to technical and non-technical audiences inside and outside the research team.

Making sure that his/her activities will take into account:

  • feasibility: time and resources evaluation
  • planning in alignment with the other members of the team
  • supported by robust processes to ensure delivery.



  • Master in Statistics, Biostatistics, Mathematics or related field.
  • Strong interest (by a first experience or traineeship) in computation, particularly in modelling of complex datasets and statistics.

Technical skills:

  • Ideally prior modelling experience or background in one or more of the following domains: life science, finance or, marketing, (from 1 to 5 years)
  • Experience in development of algorithms based on covariable correlation.
  • Languages and procedures with knowledge of other statistical software (e.g. R, Matlab, Mathematica, SAS, Python) and Operating System like Linux, Mac OS X and/or MS Win would be appreciated.
  • Versioning tools (git, mercurial,…)
  • Acquainted with Bayesian paradigm, Data Mining paradigm and related methodologies.
  • Knowledge/notion of clinical research, compliance, regulatory and economic landscapes would be an asset
  • Publications in related field would be an asset

Soft skills:

  • Effective communication, presentation skills to non-statisticians /non-mathematicians
  • Sense of prioritization,
  • Sense of “on time delivery”,
  • Entrepreneurial mind set,
  • Team player,
  • Fluent in English


The opportunity to join a fast-moving company with ambitious challenges combined with an international work environment.

Publication date


Contact person

Gaëlle Minet

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