Data Scientist Meta-analysis in Dermo-cosmetics...
@ Pierre Fabre Laboratories

Pechbusque, Occitania, France
€20,000
On Site
Full Time
Posted 2 days ago

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Job Details

About Pierre Fabre Laboratories

Pierre Fabre is the world’s 2nd largest dermo-cosmetics laboratory and a leading private French pharmaceutical group. With a strong international presence, the company offers renowned brands and a commitment to high-quality health and beauty products.

Job Overview

The Data Scientist Meta-analysis in Dermo-cosmetics Intern will work within the Data Science team in the Applied Research division of Pierre Fabre Dermo-cosmetics. Reporting to a data scientist, you will conduct meta-analysis on clinical data from dermo-cosmetic studies, focusing mainly on OMICS data derived from various clinical studies.

Key Responsibilities

  • Conduct literature research on meta-analysis methods.
  • Create harmonized datasets from multiple OMICS studies.
  • Evaluate the quality of generated datasets.
  • Analyze harmonized data using standard statistical methods.
  • Compare analytical methods based on impact on clinical results.

Technical Environment and Tools

Work will be primarily done using R and/or Python, targeting robust statistical analysis and data harmonization across studies.

The Plus Points

  • Diverse missions.
  • Attractive stipend.
  • Product benefits.
  • Corporate restaurant or meal vouchers.

Candidate Profile

The ideal candidate is a data scientist with strong training in applied mathematics and statistics, or a Master II student/last year engineering student specializing in statistics, applied mathematics, or bioinformatics. You must be autonomous, team-oriented, and interested in biomedical research projects.

Location

The internship is based at Laboratoires Pierre Fabre, 3 avenue Hubert Curien, Toulouse.

Key skills/competency

Data Science, Meta-analysis, Dermo-cosmetics, OMICS, R, Python, Statistics, Biomedical Research, Data Harmonization, Literature Review

How to Get Hired at Pierre Fabre Laboratories

🎯 Tips for Getting Hired

  • Customize your resume: Highlight biomedical research and statistics experience.
  • Research Pierre Fabre: Understand their brands and company ethos.
  • Align skills: Emphasize R, Python, and data analysis.
  • Prepare for interviews: Demonstrate meta-analysis project experiences.

📝 Interview Preparation Advice

Technical Preparation

Review R statistical packages and Python libraries.
Practice meta-analysis method coding.
Study OMICS data harmonization techniques.
Familiarize with clinical data analysis.

Behavioral Questions

Describe teamwork in previous projects.
Explain handling complex datasets under pressure.
Discuss challenges with interdisciplinary communication.
Share examples of independent problem solving.

Frequently Asked Questions