Bioinformatics Intern

Nestlé S.A.

Vaud

On-site

CHF 20,000 - 31,000

Full time

45 hours ago
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Benefits offered by this job

Learning and development opportunities
Healthcare contribution
Employee discounts across Nestlé

Job summary

Nestlé Research in Vaud invites a Bioinformatics Intern to contribute to an advanced yeast genome annotation pipeline by integrating gene expression data to improve prediction accuracy. You will develop and automate scripts and workflows, document code and results for traceability, and collaborate with microbiologists and genomics scientists to translate biology into solid software solutions.

This role offers learning and development opportunities, healthcare contributions, and employee

Qualifications

  • Pursuing or recent graduate in bioinformatics, genomics or related field.
  • Good knowledge of genomics and bioinformatics exposure.
  • Familiarity with NGS data analysis and Unix/Linux environments.

Responsibilities

  • Review literature and evaluate software for integrating gene expression into yeast annotation.
  • Develop and improve scripts/workflows to automate genomic data processing.
  • Document code, workflows and results to ensure traceability and reproducibility.
  • Collaborate with microbiologists and genomics scientists to translate biology into technical solutions.

Skills

Python
R
Bash
Unix/Linux

Education

Bachelor's or Master's in Bioinformatics, Computational Biology, Genomics, Biology or related field

Tools

Nextflow
Awk
Git

Job description

Be a force for good and transform your potential into something extraordinary.

As a Bioinformatics Intern within the Bioinformatics & Data Analytics group at Nestlé Research, your mission will be to contribute to the development of an advanced yeast genome annotation pipeline by integrating gene expression data to improve gene prediction accuracy.

How you'll make an impact as a Bioinformatics Intern
  • Review scientific literature and evaluate bioinformatics software for integrating gene expression data into a yeast genome annotation pipeline
  • Develop and improve scripts and workflows to automate genomic data processing and genome annotation
  • Document code, workflows and results to ensure traceability, reproducibility and effective knowledge transfer
  • Collaborate with microbiologists and genomics scientists to translate biological requirements into technical solutions and present your progress and results
What will make you successful
  • Student or recent graduate from a Bachelor or Master in Bioinformatics, Computational Biology, Genomics, Biology or a related field, with good knowledge of genomics and strong exposure to bioinformatics
  • Understanding of Next-Generation Sequencing technologies and their application to genomic or transcriptomic data analysis
  • Good programming and scripting skills using Python, R or Bash, experience using a Unix or Linux environment is a strong advantage
  • First exposure to workflow and command-line tools such as Nextflow or Awk is an advantage, combined with an interest in developing automated and reproducible bioinformatics pipelines
  • Basic knowledge of code version control (Git)
  • Strong analytical, communication, collaboration and learning skills
  • Fluency in English; knowledge of French is an advantage

At Nestlé Research, we place people at the heart of everything we do.

Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life
  • Learning and development opportunities to grow your career
  • Healthcare contribution and access to the Employee Assistance Program
  • Attractive employee discounts across various products and services
What to expect from our hiring process

We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodation if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.

The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.

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