Remotery

Senior Python Engineer – Healthtech, Precision Medicine

Posted May 20

This is a fully remote position, open to applicants in Jordan.

📋 Description

• Develop the fundamental computational modules for our pharmacometrics engine.

• Collaborate directly with internal software design processes, actively participating in and adhering to Mermaid.js UML and flow charts for architecture and pipelines.

• Create custom, highly efficient modules utilizing vectorized operations (numpy, pandas, attrs) to compute essential clinical metrics.

• Oversee the integration of Python models with a standardized R backend (via rpy2), securely exposing them through FastAPI and gRPC.

• Interpret and convert advanced mathematical equations into robust code, supported by rigorous unit testing against hand-calculated ‘golden’ datasets.


⛳️ Requirements

• 5+ years of backend software engineering experience with a focus on computationally intensive, pure Python environments.

• Expert-level proficiency in Python: In-depth understanding of the Python Data Model, strict typing protocols (mypy), memory lifecycle management (GC, profiling via tracemalloc), and state management through immutability (attrs) and caching strategies (functools).

• Scientific Libraries: High-level proficiency in NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution.

• Math Translation & Unit Testing: Demonstrated ability to convert advanced mathematical equations and scientific pseudocode into efficient, rigorously unit-tested algorithms directly from logical specifications.

• System Documentation: High comfort level in reading from, building, and directly contributing to Mermaid.js UML and flow charts to inform architectural decisions.

• Experience in designing, maintaining, or scaling RESTful endpoints using FastAPI and configuring gRPC interfaces for efficient communication.

• Familiarity with R and previous experience using rpy2 (or similar FFI bridges) to invoke non-Python scientific kernels from a Python environment.

• Previous experience in life sciences, pharmacometrics, bioinformatics, quantitative finance, or fields involving rigorous numerical and mathematically validated software pipelines.


🏝️ Benefits

• Impact: Opportunity to create and deliver real-world effects for critically ill children.

• Flexibility: Flexible working policy that prioritizes team well-being and quality of work.

• Growth: Opportunities for professional development, mentorship, open-source contributions, and influencing our technical direction.

• Support and Culture: Independent HR, TOIL provisions, Employee Assistance Programme (ensuring personal and professional well-being), and structured parental leave packages.

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