Research Scientist in Data Science

Il y a 5 mois

Sophia Antipolis, France Bayer Temps plein

**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 eager 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.**

**Research Scientist in Data Science (M/F/d)**

For our Sophia Antipolis site, we are looking for a Research Scientist in Data Science (M/F/d):
**KEY TASKS**:
Develop and implement bioinformatic pipelines to interpret omic data sets in order to drive
mechanistic-based screening and support development of safe plant protection products:

- Optimize and develop omics data (transcriptomic, cell painting and metabolomic) analysis workflows
- Review appropriate literature pertaining to current or proposed projects
- Leveraging unsupervised learning to discover biologically-relevant patterns associated with Toxicity endpoints
- Utilize AI/machine learning techniques to analyze and interpret complex biological data
- Independently plan, analyze, interpret your data analysis, set-up critical path and path-forward
- Communicate and report study findings, results, analyses, and future direction to project partners (to direct manager & collaborators)
- Actively collaborate within the toxicology and omics communities within Bayer
- Participate in project meetings and active scientific exchange with internal and external scientific communities

**QUALIFICATIONS AND COMPETENCIES**:

- Education:_
- PhD in bioinformatic, 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
- Strong expertise in scripting. Python languages applied to omics data is required
- Utilize AI/machine learning techniques to analyze and interpret complex biological data
- Experience in high content screening technology (384 wells), and high throughput quantitative data analysis would be a plus
- Demonstrated experience with global multi-disciplinary teams
- Strong personal organization skills are required
- Excellent verbal and written communication skills
- Proficient in English, basic knowledge of French is an advantage
- Additional considerations:_
- Knowledge of emerging technologies and motivation to implement innovative scientific strategy and lab operations
- Experience in machine learning methods is required
- 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 : Permanent contract

**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**:
797841

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