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Clinical Data Scientist - Bioinformatics

For one of our clients in Wavre, we are looking for a "Clinical Data Scientist - Bioinformatics".

Job Description

The Data Scientist integrates and analyzes complex, high dimensional data sets to extract biological knowledge relevant for Vaccines R&D.
This role ensures advanced data analytics and bioinformatics deliverables for Vaccines R&D projects are at the top of research and industry standards with respect to scientific excellence, quality and time lines.

Responsibilities

The Data Scientist coworker integrates and analyzes complex, high dimensional data sets to extract biological knowledge relevant for Vaccines R&D.
He/She is able to use and develop state-of-the-art bioinformatics and data analysis tools to perform:

  • Bioinformatics/data analytics activities for Vaccines R&D;

  • Data and knowledge integration for hypothesis generation;

  • Data modeling for innovative assays, high-dimensional readouts and microbial genomics;Development of tailored systems and analytical models for explorative analytics of pre-clinical, clinical, and epidemiological data;

  • Development of analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools;

  • Advise on study design, readout selection and data formats, data analysis strategies;

  • Preparation and publication of scientific papers and congress reports.

  • Fosters innovation within DSDI and keep abreast of the new and most recent developments and innovations in the fields relevant for the role.

  • Communicates results to internal stakeholders and scientific community, translating complex solutions into simple, understandable and effective messages.

Requirements

Required Experience & Knowledge:

  • Demonstrated proficiency / publication record in one or more of the following areas:computational and molecular epidemiology, bio-informatics and genomics, systems vaccinology and immunoinformatics,data mining and machine learning,computational / dynamic modeling and high performance scientific computing infrastructures.

  • Good programming, data analytics and modeling skills

  • Good business understanding of the Pharmaceutical industry

  • Good knowledge of vendors and state-of-the-art solutions for Data Science and Digital Innovation

Soft Skills:

  • Good communication skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner

  • Good networking skills and fluent interactions with one or more scientific communities

  • Ability to influence performance in a matrix organization through negotiation and communication

Education, Methodology & Certification Requirements:

  • PhD(preferred) or MS in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Biological and Systems Engineering, Bioinformatics, Computational Life Sciences or equivalent

ICT Skills (software, operating systems, hardware, etc.):

  • Microsoft Windows and Linux

  • IT tools computer programming oriented

  • Familiar with MS Office package

Language Proficiency Requirements:

  • English

  • French or Italian is a plus


Existing right to work in Europe required ( please read job spec in full before applying ).