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About the Role
Join the Data & Analytics team to build and scale key technical foundations for a reliable, usable, and accessible data platform for clinical, research, and business teams. Increase delivery speed and trust in insights by improving automation, quality, and documentation, and ensuring consistent metric definition and reuse.
Responsibilities
- Build backend features for the Research Data Platform using Python/FastAPI and PostgreSQL.
- Build and maintain dbt models, including business logic, tests, and documentation, to ensure a robust data model for self-service analytics.
- Collaborate closely with internal users (Research/Clinical/Business) for rapid iteration and value delivery.
- Participate in code reviews, technical design discussions, and continuous improvement of engineering standards.
- Support the team in delivering BI solutions such as dashboards and business analysis.
- Contribute to metrics governance via a semantic layer (e.g., Cube.js) to align KPIs.
- Transform recurring manual work (reporting, quality triage, source onboarding) into reliable tooling, leveraging AI responsibly.
Requirements
- Ship production-grade Python code, including tests, code quality checks, reviews, and CI.
- Build and maintain backend APIs using FastAPI, Flask, Django, or equivalent.
- Perform data modeling with advanced SQL to deliver production dbt models.
- Utilize AI tools as a multiplier while maintaining strong engineering ownership.
- Deploy and operate built solutions, including containers, environments, and CI/CD.
- Implement data tests and alerting, and troubleshoot data quality issues.
- Possess a structured, detail-oriented approach with a bias for automation.
- Demonstrate strong collaboration skills with technical and non-technical partners.
- Exhibit pragmatism, prioritizing impact and maintainability.
- Show ownership, autonomy, and accountability.
- Maintain curiosity and a continuous-learning mindset.
- Communicate clearly and maintain a solution-oriented attitude.
- Have experience working in a maintained codebase using Git workflow, PRs, and CI.
- Have experience shipping production dbt models with documentation and tests.
- Have experience contributing to self-service data tooling and enablement.
- Have experience collaborating with product/engineering teams on data topics.
- Have operated in a context with high standards for security, compliance, and sensitive data.
Skills
- Python
- FastAPI
- PostgreSQL
- dbt
- SQL
- AI tools
- Containers
- CI/CD
- Data modeling
- Data tests
- Alerting
- Git
- Cube.js
- LookML
- dbt Semantic Layer
Location
- Remote-friendly
Work Type
- Hybrid
Experience Level
- 3-5 years across data and software
About the Company
- Resilience Care is a leading medical remote monitoring player and a clinical research partner founded in France in 2021.
- Our mission is to improve patient care by building 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.
- Currently, our solutions are deployed in routine care for 35,000 patients across 200+ healthcare institutions and support approximately twenty academic and industry clinical studies.
- We aim to enable every patient to benefit from personalized medicine by putting data at the service of care and therapeutic innovation.
Equal Opportunity
- Your personal data will be processed for the purposes of recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. They will be available only for people involved in the process and erased after 2 years of inactivity.
- Under GDPR and as Resilience attach great importance to privacy, please note that you have the right to request access to your personal data, to request that your personal data be rectified or erased.
- The Data Protection Officer can be contacted at privacy@resilience.care
- For more information, please check our privacy policy.