Postdoctoral Research Scientist - Sophia Antipolis, France - Bayer

Bayer

Entreprise vérifiée

Sophia Antipolis, France

il y a 2 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where, Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Postdoctoral Research Scientist - Experimental Systems Biology / Sytems Toxicology (M/F/d)

For this project, you will join an interdisciplinary team composed of toxicologists, molecular biologists, automation experts and data scientists within the Toxicology department of Bayer CropScience in close collaboration with members of other international Bayer entities and academic institutions.

YOUR TASKS AND RESPONSIBILITIES
Develop and implement Systems Biology pipelines with a focus on Toxicology to interpret multi omics data sets such as transcriptomics, proteomics, metabolomics and phenomics in order to drive mechanistic-based screening and de-risking approaches to support development of next generation safe plant protection products:

Generate and analyze medium to large scale data (mulit-omics) for biological discoveries related to toxicology
Review appropriate literature pertaining to current or proposed projects
Independently plan, analyze, interpret your data analysis, setup critical path and pathforward
Communicate and report study findings, results, analyses, and future direction to project partners (to direct manager & collaborators)
Actively collaborate with experienced Research Toxicologists to set up experiments and drive data analysis and interpretation
Participate in project meetings and active scientific exchange with internal and external scientific communities
Enable and support researchers across teams to use Systems Biology / Toxicology for the development of hypothesis driven derisking approaches
Leverage Systems Biology / Toxicology to define and shape new and innovative approaches for Next Generation Risk Assessment of plant protection products

WHO YOU ARE

Education:

PhD in bioinformatics, cellular biology, biology, toxicology, or related disciplines
2 years of experience in academic, pharmaceutical, or biotechnology settings.

Skills:

2 years of experience in academic, pharmaceutical, or biotechnology settings
Handson experience in generating and analyzing multiomics data in the wetlab
Experience in working with multiomics data in biological contexts
Strong expertise in scripting R, Python languages applied to omics data is required
Experience in high content screening technology (384 wells), and high throughput quantitative data analysis would be a plus
Demonstrated experience with multidisciplinary teams
Accurate and precise worker with strong analytical and problemsolving skills (creative, critical, outofthebox thinker)
Strong personal organization skills are required
Fluent verbal and written communication skills and proficient in English, basic knowledge of French is an advantage
Team player with the ability to work independently to drive projects

Additional considerations:

Knowledge of emerging technologies and motivation to implement innovative scientific strategy and lab operations
Experience in artificial intelligence and deep learning methods would be helpful
Ability to troubleshoot problems, and provide possible solutions
Capable of conveying technical information in a clear and thorough manner
Excellent interpersonal and teamwork skills

OTHER INFORMATIONS:

Location: Sophia-Antipolis near Nice (06), France
Division: Crop Science
Contact : 24 months To be filled as soon as possible

YOUR APPLICATION
The compatibility of family and career is important to us. We support flexible working time models and the option of partially working from home

Lieu:

France :
Alpes Maritimes : Sophia

Division:

Crop Science

Code de référence:

797475