Biotech jobs in France

Location: REMOTE / Kitchener-Waterloo, Ontario
This job allows you to work remotely.

Our client is one of Canada's fastest-growing startups, drawing the blueprint for the future of biotech data. Their mission is to develop cutting-edge data infrastructure for biotech labs globally. By blending technology with biotechnology, they are making every lab an AI Powerhouse. You'll have a chance to make a real impact, craft the digital spine of global biotech labs, and benefit from generous stock options.

You will own their AI and full-stack engineering efforts. You will shape next generation features that help scientists run experiments faster. You will guide the platform's scalability and drive new integrations for lab instruments.

1. 50% coding and system design (React, Python, Java + AI integration)
2. 20% product iteration and user feedback loops
3. 10% collaboration, planning, and roadmap refinement
4. 10% data engineering, infrastructure and embedding strategies
5. 10% LLM experimentation (prompting, AI pipelines, graph DBs, vector DBs)

• Architect and Scale
• Build robust backend services with intuitive UI/UX (React, Java Spring Boot, AWS, Kubernetes).
• Develop new AI-based features for enterprise customers.
• Enhance recommendation engines with prompt engineering and LLMs.
• Introduce NLP for seamless instrument integration.
• Implement automated tests and oversee telemetry improvements.
• Collaborate with product, data, and design teams.
• Grow a team of engineers focused on cutting-edge AI tools.

• Enhance Recommendation AI using prompt engineering and AI pipelines with LLMs for better suggestions.
• Scale API and GLUE Layer.
• Build strong ETL support for enterprise loads.
• Introduce NLP for Instrument Integration.
• Improve monitoring for infrastructure health.
• Let users query sample journeys with prompts using graph database.

• Grow & Maintain AWS EKS cluster.
• Increase backend unit test coverage.
• Allow AI agents to take simple actions for scientists.
• Improve OpenSearch and vector databases.
• Reduce reliance on retrieval-augmented generation by building memory layer for AI agents.

• Oversee tech vision, architecture, and development.
• Expose instrument integrations in a user-friendly marketplace.

Why join them?:

• Work from anywhere but ideally based out of Canada.
• Engage in challenging, impactful work in the realm of biotech data and AI.
• Competitive stock options.
• Unlimited growth upside.

• You want to shape the future of scientific research.
• You enjoy solving complex AI challenges.
• You like leading from the front, mentoring, and guiding teams.
• A chance to build next-gen AI tools for lab workflows.
• Leadership role with a high level of autonomy.

• You dislike fast-paced startup environments.
• You prefer strictly defined roles.

• Proficiency in Java, Python, React & Javascript
• Experience deploying to AWS (EKS, Lambda, or EC2).
• Deep knowledge of AI pipelines, LLMs, and NLP libraries.
• Familiarity with data stores (OpenSearch, vector databases, graph databases).
• Strong leadership and communication skills.

• Frontend: React JS and Typescript
• Backend: Elastic Search, AWS Lambda, Rabbit MQ, Mongo DB, S3, Java Spring Boot
• Architecture: Microservices integrated with GraphQL and Rest APIs
• AI Infrastructure: TensorFlow (Proprietary ML), Azure AI Service, Azure Open AI service, AI Pipelines, Programmatic Prompt Engineering

• Experience with scientific or biotech workflows.
• Knowledge of advanced ETL, data streaming, or prompt engineering.

• Proficient with AWS and its suite of data services.
• Hands-on experience with tools such as Lambda function, MQ, Java spring boot, Elastic Search, Python, Mongo DB, Dynamo DB, and S3 bucket.
• Strong programming skills, particularly in Python, Java, React & Javascript.
• Good understanding of different Agentic AI architectures.
• Good understanding of learning how to build AI pipelines with LLMs.
• A solid grasp of microservices and associated best practices.
• Experience in data engineering and orchestration is preferred.
• Loves working in a fast paced startup environment.