[Hiring] Senior Python Engineer @Vesynta

Role Description

As a Senior Python Engineer, you will develop the core computational modules for our pharmacometrics engine. You will be a dedicated pure Python expert responsible for translating complex scientific models into production-ready software to personalise dosing for children undergoing cancer care.

Key Responsibilities:

• High-Performance Python: Write custom, highly efficient modules using vectorised operations (numpy, pandas, attrs) to calculate critical clinical metrics.
• System Design & Integration: Engage directly with internal software design processes, actively contributing to and following Mermaid.js UML and flow charts for architecture and pipelines.
• Math to Code: Read and translate advanced mathematical equations into robust code, backed by strict unit testing against hand-calculated ‘golden’ datasets.
• Cross-Language APIs: Own the integration of Python models with an industry-standard R backend (via rpy2), exposing them securely through FastAPI and gRPC.

Qualifications

• 5+ years of backend software engineering focusing on computationally heavy, pure Python environments.
• Expert-level Python: Deep knowledge of the Python Data Model, strict typing protocols (mypy), and memory lifecycle management (GC, profiling via tracemalloc).
• Scientific Libraries: High proficiency in NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution.
• Math Translation & Unit Testing: Proven ability to translate advanced mathematical equations and scientific pseudocode into performant, rigorously unit-tested algorithms directly from logic specifications.
• System Documentation: High comfort level reading from, building, and contributing directly to Mermaid.js UML and flow charts to govern architectural decisions.

Requirements

• Experience designing, maintaining, or scaling RESTful endpoints using FastAPI and configuring gRPC interfaces for high-performance communication.
• Familiarity with R and prior experience employing rpy2 (or analogous FFI bridges) to invoke non-Python scientific kernels from a Python ecosystem.
• Prior work in life-sciences, pharmacometrics, bioinformatics, quantitative finance, or domains featuring rigorous numerical and mathematically validated software pipelines.

Benefits

• Impact: Opportunity to create, and deliver real-world impact for children who are critically ill.
• Flexibility: Hybrid and flexible working policy, where team well-being and quality of work are prioritised.
• Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction.
• Compensation: Competitive salary, 30 days annual leave, subsidised private health insurance, salary sacrifice schemes (home tech., bicycles, electric cars), stock options and more.
• Support and Culture: Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being), NEST workplace pension, structured parental leave packages, family-friendly working arrangements and inclusive company socials.
• Visa Sponsorship: Vesynta is a UK approved VISA sponsor.