Are you interested in making significant contributions and Global impact while integrating and analyzing complex, high dimensional data sets for the industry leader?
Are you excited about opportunities to extract biological knowledge within Vaccines R&D? If so, GSK’s Data Science and Digital Innovation team is looking for a Data Scientist and this role could be an ideal opportunity to explore.
As a Data Scientist, you will have the opportunity to ensure that data analytics and bioinformatics deliverables for Vaccines R&D projects are at the top of industry standards with respect to scientific excellence, quality and timelines.
Your responsibilities :
You represent Data Science and Digital Innovation (DSDI) as subject matter expert in cross-functional project teams
You perform and lead up to one PhD student for : Bioinformatics / data analytics activities for Vaccines R&D; data and knowledge integration for hypothesis generation;
data modeling for innovative immunological assays, high-dimensional readouts and human 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.
You foster innovation within DSDI and keep abreast of the new and most recent developments and innovations in the fields relevant for the role.
You communicate Personalized Vaccinology activities, results, and principles to internal stakeholders and scientific community, translating complex solutions into simple, understandable and effective messages.
You lead or promote scientific interactions with multiple partners or international collaborations outside GSK Vaccines.
Basic Qualifications :
PhD in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Chemical or Biological and Systems Engineering, Bioinformatics, immunogenomics, systems immunology, Computational Biology or equivalent.
Three years relevant scientific experience
Demonstrated proficiency including publications in one or more of the following areas : bio-informatics and genomics (including single cell genomics) applied to immunological questions and / or vaccinologysystems immunology, vaccinology and immuno-genomicsdata mining and machine learning, multivariate biomarkers discovery and validation for patient stratificationdata modeling for individual and integrated analysis of innovative immune assays (e.
g high dimensional flow cytometry, systems serology), high-dimensional readoutscomputational and molecular epidemiology
Good programming, data analytics and modeling skills
Fluent English (spoken and written)
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
Preferred Qualifications :
Proactive, teamwork spirit, motivated, resilient and focused
Proven capacity to use the theoretical background and education to solve actual problems of R&D projects working and leading small teams in cross-functional setting.
Awareness and knowledge of applications of deep learning in biology
Good understanding of the Vaccines or Pharmaceutical industry
French and Italian language(s) a plus