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DATA SCIENTIST (MR)

YOUR RESPONSIBILITIES:
This role contributes to the production of advanced data analytics and bioinformatics deliverables for Vaccines R&D projects and ensure they are at the top of research and industry standards with respect to scientific excellence, quality and timelines.

He/She works as part of the Data Science and Clinical Systems function reporting Senior Data Scientists or higher roles in the function.

Primary Tasks & 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:
o Bioinformatics/data analytics activities for Vaccines R&D;
o Data and knowledge integration for hypothesis generation;
o Data modeling for innovative assays, high-dimensional readouts and microbial genomics;
o Development of tailored systems and analytical models for explorative analytics of pre-clinical, clinical, and epidemiological data;
o Development of analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools;
o Advise on study design, readout selection and data formats, data analysis strategies;
o Preparation and publication of scientific papers and congress reports.

In addition he/she:
• Fosters innovation within DSCS 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.

WHY YOU?

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

• Good background knowledge in molecular biology
• Demonstrated proficiency / publication record in one or more of the following areas:
o computational and molecular epidemiology
o bio-informatics and genomics
o systems vaccinology and immuno-informatics
o data mining and machine learning
o computational / dynamic modeling
o high performance scientific computing infrastructures
• Good software programming and coding, data analytics and modeling skills
• Basic business understanding of the Pharmaceutical industry

Preferred qualifications:
• Good communication skills
• Teamwork spirit
• Well organized, eye for detail
• Able to complete tasks autonomously
• Resilient and focused
• Motivated and dynamic personality
• Proactive

Sede: Siena

 

Degrees of interest: PhD (preferred) or MS in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Biological and Systems Engineering, Bioinformatics, Computational Life Sciences or equivalent.

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