Expires soon SANOFI AVENTIS GROUPE

BIOINFORMATICS DATA SCIENTIST HF

  • V.I.E.
  • Orlando (Orange)
  • Studies / Statistics / Data

Job description

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people at Sanofi are dedicated to make a difference in patients’ daily life, wherever they live and enable them to enjoy a healthier life.
iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.
PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.
PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide.
Therefore, only applications that are submitted in English will be considered.
At Sanofi diversity and inclusion is foundational to how we operate and is embedded in our Core Values. We respect the diversity of our people, their backgrounds and experiences. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our employees, patients and customers.
We are looking for a candidate for a VIE mission of:
Bioinformatics Data Scientist
- VIE Contract (W/M)
The focus of the Bioinformatics Scientist is to advance the development and implementation of software tools and analytical pipelines for integrating various data types. The goal of this role is to build digital analytical solutions using advanced statistical, machine learning, as well as computational techniques to accelerate project progression (biomarker discovery/credentialization, translational/exploratory clinical studies) by facilitating a better understanding or interpretation of the resulting biological data.
Key responsibilities
The overarching objectives of the position can broadly be categorized into four key areas:
- Analytical method development
- Construction and curation of computational tools and databases
- Data mining, interpretation and analysis
- Providing transversal site-support for data analysis pipeline development
Additional responsibilities include:
- Supply any computational, statistical, machine learning or modeling capability needed to synthesize from this design actionable recommendations relative to the team’s question
- In collaboration with project teams, propose analysis strategies for target discovery, using methods based for instance on differential expression, co-regulation, correlated amplification, recurrent alterations, etc.; in so doing, also help devise statistical metrics for deciding significance, and ranking schemes for integrating data from many sources
- Identify targets and biological contexts (e.g., T or B-cell repertoire, immune phenotypes, copy number, mutational, or expression signatures) in which therapies are likely to be beneficial by mining immune, genetic, genomic or screening data
- Support biomarker plans (e.g., selection, pharmacodynamics, efficacy) in collaboration with project teams
Candidate's profile:
- Master degree or higher in a computational, biostatistical, or bioinformatics related field
- 1 year of related working experience is required and strong interest in biology and immunological diseases
- First-hand multi-parametric data mining experience for target identification and biomarker discovery (for example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods)
- First-hand experience at integrating publicly or commercially available genetic, genomic, and immune datasets with novel experimental data to identify testable hypotheses
- Knowledge of 1 or more technical areas of analytical pipeline development (microarray, RNA(Ribonucleic Acid) sequencing, data integration) would be a plus
- Excellent understanding of immunology and hands-on research experience investigating complex lymphoid and/or myeloid cell subsets a plus
- Collaborative, self-directed and with a positive, proactive can-do mindset; well-developed communication and presentation skills and a successful track record of collaborating with cross-functional project teams is a plus; excellent interpersonal and team skills; demonstrated ability to lead project-aspects of moderate scope, mapping-out critical path, milestones and timelines with minimal supervision
- Statistical programming skills like python, perl, R/bioconductor and pipeline pilot or equivalents
- Fluent English
Avant de postuler, veillez à vérifier les conditions d’éligibilité pour cette destination http://www.civiweb.com/FR/le-volontariat-international/conditions-du-VIE.aspx
Le visa requis dans le cadre d’une mission VIE est en effet soumis à des conditions de formation et/ou d’expérience »

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