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About Aqemia
Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI.
Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data.
Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis.
We’ve already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization.
We’re a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what’s possible in early-stage drug discovery.
The Role
As a Fullstack Software Engineer, you will play a central role in building user-facing products supporting drug hunters daily activities and accelerating Aqemia’s drug discovery programs.
You’ll work closely with chemoinformaticians, AI scientists, and product stakeholders to create reliable, scalable applications that bring complex data and algorithms into the hands of scientists and decision-makers.
This role sits at the core of Aqemia’s product engineering effort, blending technical excellence, cross-functional collaboration, and a product mindset.
What You’ll Do
At Aqemia, engineers don’t just build software, they help discover real drugs.You’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.
DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models
Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster
Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale
High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making
Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams
Prime Locations : Central Paris or London offices, with 2 remote days/week
Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi
Join us if you’re excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI.
Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data.
Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis.
We’ve already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization.
We’re a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what’s possible in early-stage drug discovery.
The Role
As a Fullstack Software Engineer, you will play a central role in building user-facing products supporting drug hunters daily activities and accelerating Aqemia’s drug discovery programs.
You’ll work closely with chemoinformaticians, AI scientists, and product stakeholders to create reliable, scalable applications that bring complex data and algorithms into the hands of scientists and decision-makers.
This role sits at the core of Aqemia’s product engineering effort, blending technical excellence, cross-functional collaboration, and a product mindset.
What You’ll Do
- Design, develop, and maintain fullstack web applications powering Portfolio activities
- Implement intuitive user interfaces for internal scientific users (Vue.js or React)
- Build and maintain backend services in Python (FastAPI) with strong attention to performance and securityWork on the underlying PostgreSQL database, ensuring data integrity and optimized query performancCollaborate with chemoinformaticians and scientists to turn business needs into product features
- Ensure software quality, scalability, and testability through best practices (CI/CD, code reviews, testing)
- Contribute to improving our engineering culture, tools, and internal frameworks
- Participate actively in agile rituals and iterative product delivery
- 3+ years of experience in fullstack software development
- Strong skills in Python (FastAPI or equivalent), SQL, and modern JavaScript frameworks (Vue.js or React)
- Experience with API design, frontend/backend integration, and user-centric design
- Good understanding of software architecture, security, testing, and deployment workflows
- Strong collaboration and communication skills, able to interact with non-technical users and turn their needs into working productsTeam player with the ability to work autonomously while staying aligned with team objectives
- You want to build tools that make a real-world impact on drug discovery
- You combine clean, maintainable code and solid engineering practices (testing, documentation, performance) with a genuine curiosity for solving complex scientific problems
- You enjoy working in cross-functional teams and contributing beyond your code
At Aqemia, engineers don’t just build software, they help discover real drugs.You’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.
DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models
Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster
Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale
High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making
Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers, and product teams
Prime Locations : Central Paris or London offices, with 2 remote days/week
Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi
Join us if you’re excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Key Skills
Ranked by relevance
ai
fastapi
python
machine learning
javascript
kubernetes
postgresql
cicd
sql
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- Posted
- Jul 01, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Paris
- Company
- AQEMIA
Industries
Biotechnology Research
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-07-02
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