At LOréal, there is no innovation without science, and thats what has made us different since
- It was the original gamble that Eugène Schueller took when he created the company. Every day, more than 4,000 people work in our Research & Innovation centers around the world. They discover, invent and develop, providing a continuously improving response to the Beauty needs and aspirations of consumers, while the products they create are ever more effective, and provide the highest standards of quality and safety.
Established in 1990, L'Oréal Singapore has more than 550 employees and a Research & Innovation Center for advanced skin biology, clinical research and open innovation. The SCELSE-LOréal Joint Research Lab is responsible for conducting upstream research within the scope of the skin and scalp microbiome. The goal of the research team is to identify innovative concepts and raw materials for the development of novel cosmetic, dermatology, and consumer care products. We are looking for an apprentice to analyze next-gen sequencing data by implementing bioinformatics pipelines and by performing statistical analysis. The analysis will lead to insights into the microbial ecology of the skin microbiome in healthy and diseased conditions.
KEY RESPONSIBILITIES:
Conduct scientific literature review
Implement and fine-tune bioinformatic pipelines, with mentorship guidance, within a defined project
Become proficient in statistical analysis and statistical modelling
Maintain proper documentation of the research being conducted
Communicate project results both in writing and orally to the research team
THE IDEAL CANDIDATE SHOULD:
Have a Bachelors degree in Biological Sciences (or any related field) or in Computer Science with a strong interest in Biology
Prior experience using bioinformatics tools gained through research projects or coursework, is highly desirable
Practical experience programming in Linux, Python, and/or R would be a strong asset
Enjoys solving technical problems
Strong verbal communication, interpersonal and team skills
High level of self-motivation and willingness to learn
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