AI Research Scientist

December 14

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C the Signs

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Healthcare • Cancer • General Practioners • Health Tech

51 - 200 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

Description

• 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.

Requirements

• Deep expertise in machine learning, natural language processing (NLP), and advanced predictive analytics. • Proven success in applying AI to structured data (e.g., EHRs, demographics) and unstructured data (e.g., clinical notes, imaging reports). • Mastery of state-of-the-art deep learning algorithms, including reinforcement learning and continual learning. • Extensive experience developing and deploying models for structured data (e.g., EHRs, demographic data) and unstructured data (e.g., clinical notes, imaging reports). • Proven ability to design and implement advanced NLP techniques, such as contextual embeddings, entity recognition, summarization, and relationship extraction. • Significant experience working with patient health information, with a deep commitment to ethical AI and mitigating bias. • Familiarity with healthcare standards such as HL7, FHIR, and terminologies like SNOMED CT or ICD codes is highly desirable. • Knowledge of healthcare data integration, such as electronic health records (EHRs), genomics, and patient-reported outcomes, even without technical expertise in standards like HL7 or FHIR. • Experience architecting scalable systems capable of handling petabytes of data, high-performance model training, and real-time inferencing in production environments. • 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. • 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. • 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. • PhD in Machine Learning, Computer Science, or related field, with substantial post-graduate experience in healthcare or similarly complex domains. • 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

• 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.