Bioinformatics Computational Data scientist

 CDI · Autres   Bac+8 / Doctorat, Grandes Écoles   Integrative Phenomics · Paris (France)

 Date de prise de poste : 5 juillet 2021

Mots-Clés

bioinformatics ngs coding pipeline aws server calcul computation python R microbiome developpement

Description

About us

Integrative Phenomics is a young and dynamic healthand microbiome research start-up based in Paris. We've recently been nominated as a laureate of the "Concours d'innovation: I-NOV" organized by the French Public Investment Bank (BPI) for our deep-tech R&D.

We are seeking innovative, independent and dynamic team members, preferably with experience gained in academic or industry, to join a transformative movement within Integrative Phenomics to shape the way we develop medicines and nutrition.

Our goal is innovation in nutrition and medicine by providing personalized solutions to improve weight loss and health. Through our experiences, we know this requires individuals that are self-driven and passionate about what they do and the impact they can have rather than how their experience or skills alone fit within a system.


If you are...

Creative and curious: A willingness to dig into the data and explore is of utmost important to deliver new ideas and hypotheses. Going beyond a job title or description is critical to understand how you are part of the big picture

Collaborative and communicative: We work in cross-functional teams to deliver research-based innovations. Being able to speak a common professional “language” with colleagues is a necessity

Looking for innovation and impact: You are willing to challenge existing paradigms and test your novel hypotheses while maintaining an eye on the horizon to deliver solutions to consumers.


Then come join us!


Job Description

We're currently looking for our newest bioinformatic or computational scientist. You'll be working within a collaborative team across multiple disciplines.

Your main responsibilities will be:

  • Developing bioinformatic and analytical pipelines and improving existing data and research pipeline infrastructure and computational scalability
  • Keeping up to date on tech developments (AWS, Azure, Hadoop, OLAP), analytics, and data-driven solutions
  • Developing and benchmarking new and existing models and methods, especially with the gut microbiome
  • Collaborating with research bioinformaticians, nutritionists, biostatitians, and AI/ML scientists to accomplish pipeline development

Depending on your profile and interests: working on metagenomic, medical, and real-world data analyses

With the current health crisis, we operate virtually with regular meetings. When possible, the position will be located within our Paris-based office. We offer a competitive salary, full private health insurance, an international environment, and whatever is needed for you to be successful.


Your Profile

  • You have a PhD in a computational science, bioinformatics ideally working with NGS data or big data.
  • You like to code and to bring solutions for analytical and pipeline development.
  • Use of at least one common programming and/or analytical language (Python, R)
  • Previous experience working on bioinformatic pipelines and databases
  • History of working with versioning and good-quality code
  • While the current posting is in English, you speak French and/or English

If you have experience with any of the following, it would be a bonus:

  • Knime, SAS miner, Dataiku, or model deployment
  • High-performance cloud-computing (Azure, AWS, Google Cloud)
  • API development and large-scale databases


Are you ready to join us on the mission in improving individuals' health with your talents? Please let us know!

Applications are evaluated on a rolling basis

Candidature

Procédure : Envoyer un mail a "recruitment@integrative-phenomics.com" avec votre CV et idealement un lettre de motivation.

Date limite : 31 août 2021

Contacts

Timothy Swartz

 reNOSPAMcruitment@integrative-phenomics.com

Offre publiée le 30 juin 2021, affichage jusqu'au 31 août 2021