Lead Software Engineer – Oncology AI

Lead Software Engineer – Oncology AI

Location: United States (Remote or California preferred)

Established Search has partnered with a pioneering international Precision Medicine company at the forefront of AI-driven oncology solutions. Their mission is to transform cancer diagnosis, treatment, and patient outcomes through advanced artificial intelligence and precision medicine technologies.

Our client is seeking a highly skilled Lead Software Engineer to play a critical role in designing, developing and scaling next-generation Oncology AI platforms. This individual will work across cross-functional teams including data science, clinical and product teams to build robust, high-performance systems that directly impact cancer care innovation.

Responsibilities:

• Lead the design, development and maintenance of scalable, production-grade AI/ML software systems for oncology applications.
• Oversee end-to-end engineering processes including architecture, coding standards, testing frameworks, deployment and performance optimisation.
• Collaborate closely with data scientists, researchers and product teams to translate clinical and AI models into reliable, user-facing platforms.
• Drive technical decision-making, mentor engineering teams and contribute to long-term platform strategy.
• Integrate AI pipelines, imaging systems, and data-processing tools within cloud-based infrastructures.
• Ensure software quality, security, and compliance with healthcare and regulatory requirements.
• Troubleshoot complex technical challenges across data, infrastructure and application layers.
• Contribute to technical roadmaps, documentation and best engineering practices across the organisation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field.
• 7+ years of hands-on software engineering experience, with at least 2+ years in a senior or lead capacity.
• Strong proficiency in modern programming languages such as Python, Go, Java or C++.
• Experience building distributed systems, cloud architectures (AWS/Azure/GCP) and containerised environments (Docker/Kubernetes).
• Background in AI/ML engineering, medical imaging, digital health or healthcare technology highly desirable.
• Familiarity with MLOps pipelines, data pipelines, or deploying ML models into production.
• Excellent problem-solving skills and the ability to make strategic technical decisions.
• Ability to thrive in a fast-paced, international environment with an innovative and mission-driven mindset.

Benefits:

• Competitive compensation package including bonuses and equity options.
• Opportunity to build impactful technology that directly shapes the future of cancer diagnosis and treatment.
• Collaborative, mission-focused international engineering and scientific teams.
• Clear opportunities for professional growth, leadership development and career progression.
• Flexible remote working model.
• Direct exposure to cutting-edge AI research and leading experts in oncology and artificial intelligence.

If you’re passionate about building technology that meaningfully improves patient outcomes and want to help shape the next generation of Oncology AI platforms, I’d love to hear from you!