Senior Python Engineer (remote) - Healthtech (Precision Medicine)

1 day, 4 hours ago
Full-time
Senior
Software Development
Vesynta

Vesynta

Vesynta Limited is a UK-based healthcare technology startup focused on data-guided precision dosing to enhance therapeutic outcomes and health equity. The company specializes in tailoring drug regimens for individual patients, particularly in critical areas such as oncology, anti-infectives, and immunology. Founded in March 2019, Vesynta operates from The London Cancer Hub in Sutton, Surrey, and has a small team of approximately six employees. The company's primary product is DosoLogic, a digital dosing co-pilot that offers patient-centric dosing recommendations through an intuitive interface. This software integrates clinical decision support tools and drug monitoring data to improve pharmacology modeling. DosoLogic aims to provide safer and more effective drug regimens, reducing adverse events and hospital time while enhancing the quality of life for patients. The platform utilizes data collection, modeling, simulation, optimization, and delivers actionable insights at the point-of-care, ensuring secure data handling and EHR compatibility.

information technology & services
11-50
Founded 2019
$2M raised

Description

  • Develop core computational modules for the pharmacometrics engine in pure Python.
  • Write highly efficient vectorised code using NumPy, Pandas, and attrs to calculate clinical metrics.
  • Translate complex scientific and mathematical models into production-ready software.
  • Contribute to internal system design using Mermaid.js UML and flow charts for architecture and pipelines.
  • Build robust, unit-tested algorithms validated against hand-calculated golden datasets.
  • Own integration between Python models and an R backend using rpy2.
  • Expose model functionality securely through FastAPI and gRPC.
  • Support precision dosing workflows used in clinical applications integrated with web, mobile, and EHR systems.
  • Collaborate on software architecture decisions and implementation details for scientific workflows.

Requirements

  • 5+ years of backend software engineering experience in computationally heavy, pure Python environments.
  • Expert-level Python knowledge, including the Python data model, strict typing with mypy, memory lifecycle management, profiling with tracemalloc, immutability with attrs, and caching strategies with functools.
  • High proficiency with NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution.
  • Proven ability to translate advanced mathematical equations and scientific pseudocode into performant, rigorously unit-tested algorithms.
  • Comfort reading, building, and contributing to Mermaid.js UML and flow charts.
  • Experience designing, maintaining, or scaling RESTful endpoints with FastAPI.
  • Experience configuring gRPC interfaces for high-performance communication.
  • Familiarity with R and experience using rpy2 or similar FFI bridges to call non-Python scientific kernels.
  • Prior work in life sciences, pharmacometrics, bioinformatics, quantitative finance, or similarly rigorous numerical software domains.
  • Willingness to apply even if your background does not match every requirement exactly.

Benefits

  • Opportunity to create real-world impact for critically ill children.
  • Flexible working policy that prioritises team well-being and quality of work.
  • Professional development opportunities, including mentorship and open-source contributions.
  • Ability to help shape the company’s technical direction.
  • Independent HR support.
  • Time off in lieu (TOIL) provision.
  • Employee Assistance Programme for personal and professional well-being.
  • Structured parental leave package.

Interested in this position?

Apply directly on the company website

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