Remote Frontend Engineer

JR France; Paris; Hybride; EUR 50 000 - 85 000; Plein temps

Résumé du poste

A leading company in the biotechnology sector is seeking a Full Stack Engineer for a 12-month hybrid contract in Paris. This role involves developing and maintaining scalable applications that leverage AI for biopharmaceutical solutions, requiring strong collaboration with clinical data experts.

Qualifications

• Proven experience as a Full-Stack Engineer.
• Strong understanding of AI/ML frameworks.
• Experience with biomedical or clinical data.

Responsabilités

• Develop and maintain full-stack applications.
• Integrate machine learning models into production systems.
• Ensure application performance and security.

Connaissances

AI/ML frameworks

Problem-solving

Attention to detail

Outils

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud Platform

Azure

Description du poste

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Full Stack Engineer - BioPharma - 12 months contract - Paris (Hybrid)We are seeking a Full-Stack Engineer to help develop and maintain scalable software products that power AI-based solutions for the biopharmaceutical industry . This role involves close collaboration with data scientists, biomedical experts, and product teams to build applications that integrate machine learning with real-world clinical and biomedical data.Full-Stack Engineer – AI-Driven Biopharma SolutionsLocation: Paris (3 days on site, 2 days remote)Employment Type: Full-timeIndustry: Biotechnology / Artificial IntelligenceKey ResponsibilitiesDevelop and maintain full-stack applications (frontend and backend)Integrate machine learning models into production-grade systems in collaboration with AI/ML teams.Translate scientific and clinical requirements into functional and efficient technical implementations.Ensure application performance, scalability, and security, especially when handling sensitive biomedical data.Contribute to user experience design, data visualization components, and API development.RequirementsProven experience as a Full-Stack EngineerStrong understanding of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Experience working with biomedical, clinical, or life sciences data.Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure.Excellent problem-solving skills, attention to detail, and effective communication across technical and non-technical teams.