Software & Analytics Engineer

About the role

🏨 THE COMPANY

Resilience Care is a leading medical remote monitoring player and a clinical research partner. Founded in France in 2021, our mission is simple: improve patient care. We build remote monitoring solutions in oncology, gastroenterology and psychiatry, powered by ePRO collection and AI techniques. Our platform helps care teams detect side effects early for continuous and proactive care, while our patient app helps people track and manage symptoms with tailored resources. Our solutions optimize care pathways, enrich continuous patient understanding, and accelerate clinical research through the collection, structuring and detailed analysis of real‑world data. Today, our solutions are deployed in routine care for 35,000 patients across 200+ healthcare institutions, and also support around twenty academic and industry clinical studies. We put data at the service of care and therapeutic innovation, with the ambition to enable every patient to benefit from personalized medicine.

📝 YOUR ROLE

In a nutshell: You join the Data & Analytics team to build and scale key technical foundations (backend + modern data stack) so data is reliable, usable and accessible for clinical, research and business teams.

Your impact: Increase delivery speed and trust in insights by improving automation, quality and documentation—and by ensuring metrics are consistently defined and reused.

Your day-to-day:

- Build backend features for our Research Data Platform (Python/FastAPI, PostgreSQL).

- Build & maintain dbt models (business logic, tests, docs, repo standards) to keep the data model robust for Self-Service analytics.

- Work closely with internal users (Research/Clinical/Business) to iterate fast and deliver value.

- Participate in code reviews, technical design, and continuous improvement of engineering standards.

- Support the team to deliver BI solutions such as dashboards and/or business analysis

- Contribute to metrics governance via a semantic layer (e.g., Cube.js) to align KPIs.

- Turn recurring manual work (reporting, quality triage, source onboarding) into reliable tooling, leveraging AI responsibly.

✨ YOUR TEAM

- Your future teammates: Anna - Analytics Engineer

She recently joined the team and is already growing fast on our stack and data model. She'll be your closest day-to-day teammate, and part of the deal is that the three of us level each other up.

- Your manager: Jean-Baptiste - Analytics Lead

“We'll work together closely: my role is to find technical solutions with the Product and Platform engineering teams to answer data-related business problems, and I stay a hands-on contributor — you won't be alone in the code. I value relationships built on honesty and trust, and I really enjoy working with curious people who are always eager to learn and to help. I'm based in Biarritz and have a lot of fun doing triathlon”