Oncoshot is a federated data company transforming oncology research by enabling secure, privacy-preserving collaboration between cancer institutions and pharmaceutical partners. Our Federated Data Platform connects real-world patient data across institutions without moving or exposing sensitive information.
We are expanding our AI team in Singapore to strengthen our privacy-preserving machine learning and data infrastructure capabilities.
Role Overview
We are looking for a
Python Engineer
who thrives on solving complex data and AI challenges. You will work directly under the CTO on initiatives that ensure privacy, reliability, and scalability of AI solutions within Oncoshot's federated ecosystem.
This role offers exposure to cutting-edge work in
PII masking, real-time data pipelines, LLM validation, and AI governance
.
Key Responsibilities
Develop and deploy
a transformer-based model for PII data masking across clinical datasets.
Build and maintain
real-time data pipelines between partner cancer institutions and Oncoshot's Federated Platform.
Design validation frameworks
for evaluating and monitoring the accuracy and consistency of LLM-based outputs.
Contribute to AI governance and security
, ensuring compliance with internal and external data protection requirements.
Participate in code reviews
and ensure high-quality, well-tested, and maintainable code.
Collaborate closely
with other engineers, data scientists, and stakeholders to deliver production-grade AI tools.
Requirements
2+ years of hands-on Python experience
, including OOP and async programming.
Strong
discipline for unit testing
and passion for handling edge cases.
Familiarity with
ML model evaluation metrics
(precision, recall, F1, R, etc.).
GitHub
workflow experience (branches, pull requests, code reviews).
Working knowledge of
Hugging Face
,
JIRA/Confluence
, and
VS Code
.
Solid organizational skills and ability to
switch between multiple active projects
.
Bonus: Background in
mathematics, statistics, or machine learning
.
Why Join Oncoshot
Work on
real-world AI and data privacy problems
that impact cancer research globally.
Collaborate with a small, focused team of AI engineers and researchers.
Contribute to
meaningful technology
that protects patient data while accelerating clinical research innovation.
* Office conveniently located in
one-north
, Singapore's innovation district.
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