At
C the Signs, we are transforming early cancer detection through our AI-driven platform, identifying patients at risk of cancer at its earliest and most treatable stages. Our platform has conducted over
400,000 cancer risk assessments, diagnosing over
30,000 cancers across 50 tumour types, with a
94% accuracy in predicting tumour origin. We sit at the intersection of
AI's most advanced technologies and
global healthcare challenges, pioneering a future where
machine learning, predictive analytics, and large-scale data integration redefine how we detect, predict, and combat disease.
We are seeking a
visionary and deeply technical leader who understands AI's potential and limitations in a healthcare context. This role demands someone who can transform immense, diverse datasets into clinical breakthroughs, ensuring ethical deployment and advancing AI architecture at scale. You will work closely with the
CEO, Chief Scientific Officer (CSO), and
CTO, aligning AI strategy with scientific discovery, business goals, and seamless technological integration. Together, we will push the boundaries of what AI can achieve in saving lives globally.
Key Responsibilities:
- Strategic Leadership: Own and execute the AI strategy, from vision to technical implementation, powering early cancer detection and prediction
- Cutting-Edge AI Development: Select, train, fine-tune, and scale AI models using proprietary multi-modal datasets (e.g., structured/unstructured healthcare data, longitudinal records, genomics, patient-reported outcomes, documents, images). Evaluate the performance of the models and working closely with product engineering to integrate the models into product suite
- MLOps - Design and implement MLOps infrastructure to support robust model development
- Data Engineering - Design and implement robust data engineering, apply tools and techniques to curate data to support AI development, including data acquisition, cleansing, quality control, data augmentation, data labeling.
- Real-World Applications: Design models for predictive analytics, early disease detection, and patient risk stratification that deliver measurable clinical impact
- Ethical and Scalable AI: Ensure all AI systems adhere to strict ethical guidelines, mitigating algorithmic bias and ensuring fairness, interpretability, and robustness in real-world healthcare contexts
- Collaborative Innovation: Work with the CEO, CSO, and CTO to align AI development with scientific advancements and business goals, ensuring AI seamlessly integrates into the broader product vision
- Regulatory Compliance: Ensure models comply with regulatory and security requirements (e.g., HIPAA, GDPR, SOC2), safeguarding data privacy and governance
- Team Leadership: Build and mentor an elite AI team and data engineering team, fostering a culture of technical excellence, innovation, and impact
- Research Excellence: Spearhead research and publication efforts, solidifying C the Signs as a global leader in healthcare AI
Requirements
Technical Expertise:
- Deep expertise and experience in Data Science and AI (Generative AI included) model development, training and fine-tuning using machine learning, natural language processing (NLP), and advanced prediction/classification algorithms
- Super data analytical skill and expertise in-depth statistical analysis, aiming to discover deep data insight through the usage of AI models (e.g. discover the correlation and causation of data elements in cancer predictions)
- Proven success in applying AI to structured data (e.g., EHRs, demographics, clinical) and unstructured data (e.g., clinical notes, image, etc.)
- Mastery of state-of-the-art deep learning algorithms, including reinforcement learning and supervised and unsupervised learning
- Deep skill and experience in setting up MLOps, including tool set, process and technical implementation of MLOp infrastructure to support AI model development in the cloud (GCP, AWS)
- Extensive experience in AI model performance evaluation
- Expert level knowledge and experience in model sizing and cost optimization both at hardware and software level
- Extensive experience working with product engineering team in integrating AI models into products
- Experience with data engineering concept and disciplines in supporting AI development. Familiar with technical tools required to perform data engineering for AI development
- Experience working with patient health information, with a deep commitment to ethical AI and mitigating bias
Scalable AI Infrastructure:
- Experience architecting scalable systems capable of handling petabytes of data, high-performance model training, and real-time inferencing in production environments
Tools and Frameworks:
- Advanced proficiency in Python and experience with AI/ML libraries like TensorFlow, PyTorch, Hugging Face, or equivalent
- Strong understanding of scalable architectures for deploying AI systems in production environments
Real-World AI Applications:
- Demonstrated success in building AI systems integrated into live environments, such as clinical decision support, early disease detection tools, or resource optimization
- Strong problem-solving skills, with a track record of addressing domain-specific challenges in healthcare or similar high-impact fields
Leadership and Impact:
- Exceptional leadership skills with a proven ability to build and mentor world-class AI teams
- Strong collaborative skills, working across disciplines to align AI development with clinical, scientific, and business goals
Education and Experience:
- Advanced degree (PhD preferred) in Data Sciences, Machine Learning, Computer Science, or related field, with substantial post-graduate experience in healthcare or similarly complex domains
Collaborative Mindset:
- Ability to work effectively in cross-disciplinary teams, collaborating with clinicians, engineers, and researchers to deliver impactful solutions
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Benefits
Why Join Us?
Joining
C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
- Competitive salary and benefits package
- Flexible working arrangements (remote or hybrid options available)
- The opportunity to work on life-changing AI technology that directly impacts patient outcomes
- Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity
- Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare
