STAGE Intern Data Scientist

Date de mise à jour de l’offre

AgenT :

AgenT is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent Alzheimer's. We are pioneering the most comprehensive multiomics platform for early Alzheimer's detection through a routine blood draw. By combining deep expertise in molecular biology with advanced computational biology and machine learning techniques to recognize disease-associated patterns among billions of circulating, cell-free biomarkers, we are developing simple and accurate blood tests for early Alzheimer's detection and integrating the actionable insights into health systems to operationalize a machine learning feedback loop between care and science.

Description de la mission

In this role, you will lead analyzing some of the largest, richest biological datasets in the world to find biological signals and patterns and guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop machine learning and statistical methods to pull signals out of multiomics data and identify Alzheimer's at its earliest stages. You will develop and experiment with machine learning models operating across AgenT’s data sets, public data, and data from collaborators in academia and industry. Your analysis will result in exciting discoveries in Alzheimer's biology, impactful publications, and products for early detection of cancer.

You Will:
- Develop AgenT’s deep bench of knowledge in bioinformatics, machine learning, statistics, and data science.
- Modeling and analysis of large, complex genomics datasets using advanced machine learning and statistical methods to generate predictions and biological insights.
- Create and perform end-to-end analysis that include design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
- Interact cross-functionally with other teams including software, clinical, operations, research, and product development.
- Promulgate approaches and build tools that preserve scientific rigor and quality and which maintain AgenT’s statistical culture.
- Maintain an active external scientific presence.

Profil recherché

- M.Sc. or Ph.D in Computer Science, Bioinformatics, Statistics, Computational Biology, Physics, or equivalent preparation and experience.
- Deep understanding of machine learning and statistics.
- Ability to apply machine learning and statistical tools for analysis of multiomics datasets and to uncover new biological insights from large multiomics datasets.
- Strong knowledge in at least one major programming language (e.g. Python, Go, C++, R, Java)
- Technical leadership and self-direction, willingness to learn new techniques.
- Effective written and verbal communication

Niveau de qualification requis

Bac + 4/5 et +
  • Employeur
    AgenT
  • Secteur d’activité de la structure
    Santé - Social - Citoyenneté - Sécurité
  • Effectif de la structure
    De 0 à 10 salariés
  • Site internet de la structure
    https://www.agent-biotech.com
  • Type de stage ou contrat
    Stage pour lycéens et étudiants en formation initiale
  • Date prévisionnelle de démarrage
  • Durée du stage ou contrat
    Plus de 4 mois et jusqu'à 6 mois
  • Le stage est-il rémunéré ?
    Oui
  • Niveau de qualification requis

    Bac + 4/5 et +
  • Lieu du stage
    STATION F
    5 parvis Alan Turing
    75013 PARIS 13E ARRONDISSEMENT
  • Accès et transports
    Subway on lines 14 and 6