Job Description & How to Apply Below
About the Role
We are an advanced neuropsychiatric and neurorehabilitation centre with an active clinical research programme. We are building and scaling a proprietary patient data management platform that supports both our clinical operations and research workflows. The platform handles structured patient records, multi-format document ingestion, and clinical outcome tracking. You will own the technical architecture of the platform and contribute to its long-term growth.
Responsibilities
Refactor a large Python codebase into a well-structured, maintainable multi-module package
Migrate production data from SQLite to Postgre
SQL, including schema redesign, data validation, and automated backups
Deploy and maintain the application on a cloud platform, including managed database hosting, file storage, and secure remote access for multiple sites
Package the application using Docker and docker-compose for consistent, reproducible deployment
Implement role-based access control for clinical staff, researchers, and administrators
Build pipelines for ingesting and indexing reports from PDFs and external sources
Develop or integrate a web-based reporting interface accessible by authorised users
Expose a clean API layer for external tools such as statistical software and ML pipelines to query the platform
Support scaling to multiple clinical sites over time
Implement audit logging and data governance practices appropriate for clinical research data
Skills & Qualifications
Required
Proficiency in Python (backend development, OOP, modular design)
Hands-on experience with Postgre
SQL — schema design, migrations, and performance tuning
Practical knowledge of Docker and containerised deployment
Experience deploying applications on a cloud platform — AWS, GCP, or Azure (any one is sufficient)
Experience with Git and collaborative version control
Comfortable handling sensitive or regulated data
Preferred
Experience with managed cloud database services (AWS RDS, Google Cloud SQL, or equivalent)
Familiarity with cloud storage for document and file management (S3, GCS, or equivalent)
Experience with SQL Alchemy or Alembic for database versioning
Knowledge of FastAPI or Flask for API development
Exposure to PDF parsing, OCR, or document processing pipelines
Prior work in clinical, healthcare, or research data environments
Data privacy awareness — anonymisation, access control, audit logging
Good to Have
Basic frontend exposure (Streamlit, Dash, or similar)
Familiarity with cloud networking basics — VPCs, security groups, access policies
Interest in or familiarity with clinical research workflows
Who We Are Looking For
A pragmatic, self-directed engineer who can take ownership of a functioning system, improve it without breaking it, and build with future scale in mind. You should be comfortable working closely with a clinical researcher and translating real-world workflow needs into reliable technical solutions.
2–5 years of backend or full-stack development experience
At least one prior database migration project
Prior cloud deployment experience is essential
Clinical or research domain exposure is a strong advantage
Engagement
The role begins as a contract engagement with scope to transition into a longer-term arrangement as the platform grows. Compensation is commensurate with experience and will be discussed during the interview process.
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