Join the teams behind the Paris Biofoundry!

At the Paris Biofoundry, we are pioneering the future of synthetic biology through cutting-edge research, innovation, and collaboration.

Our mission is to tackle global challenges in health, sustainability, and industry by engineering advanced biological systems.

If you’re passionate about biotechnology and eager to make an impact, explore our current job opportunities and become a part of our dynamic, interdisciplinary team.


Engineer in Biological Analyses by Mass Spectrometry

Fixed-term contract (1 year, renewable)

Education: Master’s degree (Bac+5) in Biochemistry / Analytical Chemistry

Desired Experience: 1 to 4 years

Salary: According to experience

Start Date: From February 1, 2025 (negotiable)

Missions:

The engineer will carry out molecular phenotyping of bacterial, yeast, and microalgal strains generated by the ASU Biofoundry by conducting quantitative and structural proteomic and metabolic analyses.
They will interact with users to define their needs and explain the possibilities and limitations of the technologies and equipment available on the platform, to determine the best strategy to adopt for conducting the studies.
They will ensure sample preparation, mass spectrometry analyses, qualitative and quantitative data exploitation, and the writing of analysis reports.
The engineer will also coordinate analytical and computational resources by ensuring the proper functioning of the equipment and by maintaining their metrological oversight (Tribrid Ascend, Vanquish Neo, and Flex), as well as the management of raw data (Ardia server, Thermo).

Job Requirements :

  • Knowledge in biochemistry and analytical chemistry.
  • Expertise in biological sample preparation methods for mass spectrometry analysis (metabolomics and/or proteomics).
  • Theoretical and practical knowledge in separative analytical techniques (especially UHPLC-MS) and in processing UHPLC-MS metabolomic and/or proteomic data (targeted/untargeted) and associated software (Thermo Fisher software, MSDial, DIA-NN, MaxQuant, etc.).
  • Theoretical and practical knowledge of key statistical analysis techniques (PCA, ANOVA, t-Test, etc.) and experience with R or Python environments.
  • Languages: Fluent in French and English.

Contact:

Please send your application (CV + cover letter + references) to:

christophe.marchand@sorbonne-universite.fr and stephane.lemaire@sorbonne-universite.fr

Location : Campus Pierre et Marie Curie, Building B – 2nd floor, 4 place Jussieu, 75005 Paris

For more info please refer to the PDF file down below.


Engineer in Software Development & Application Deployment

Fixed-term contract (1 year, renewable)

Education: Engineer/Master’s degree (Bac+5) in Computer Science or IT.

Salary: According to experience

Start Date: As soon as possible

Missions:

We are looking for a highly motivated individual to join our dynamic research group at the
MICALIS Institute (INRAE & University of Paris-Saclay), a world-class research hub with over
350 scientists working in the fields of systems and synthetic biology for health and
biotechnology.

You will be involved in the first French academic biofoundry funded by the Ile-de-France
Region (Paris area). The Paris Biofoundry is spread over 4 sites in Ile-de-France: DNA and Microbe Biofoundry (Sorbonne Université, Paris), Mammalian cells Biofoundry (Curie Institute, Paris), Cell-Free
Biofoundry (MICALIS Institute, Jouy-en-Josas), and Scale-Up Biofoundry (GENOPOLE, Évry).


As a biofoundry has both computational and wet lab activities, each biofoundry has its own
wet lab with hardware devices. The computational part will be managed by a Galaxy web
portal. As part of our team, you will be in charge of deploying the Galaxy portal that will
integrate software tools from each biofoundry.

Key Responsibilities :

  • Design and deploy the Galaxy portal,
  • Integrate tools into Galaxy,
  • Connect Galaxy to Momentum™ Workflow Scheduling Software,
  • Train users.

Job Requirements :

  • Strong programming skills in Python.
  • Comfortable with IT admin and containerization deployment (Docker, Singularity…).
  • Excellent communication and teamwork abilities, thriving in an interdisciplinary
  • environment.
  • Theoretical and practical knowledge of key statistical analysis techniques (PCA, ANOVA, t-Test, etc.) and experience with R or Python environments.
  • Languages: Fluent in French and English.

Contact:

Please send your application (CV + cover letter + references) to:

joan.herisson@univ-evry.fr

Location : Jouy-en-Josas.

Useful Links

For more info please refer to the PDF file down below.