Join to apply for theAI Research Scientistrole atC the Signs.
AtC 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 over400,000 cancer risk assessments, diagnosing over30,000 cancers across 50 tumour types, with a94% accuracy in predicting tumour origin. We sit at the intersection ofAI’s most advanced technologiesandglobal healthcare challenges, pioneering a future wheremachine learning, predictive analytics, and large-scale data integrationredefine how we detect, predict, and combat disease.
We are seeking avisionary and deeply technical leaderwho 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 theCEO, Chief Scientific Officer (CSO), andCTO, 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: Architect and scale sophisticated AI models that integrate multi-modal datasets (e.g., structured/unstructured healthcare data, longitudinal records, genomics, patient-reported outcomes).
- 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, 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.
RequirementsTechnical Expertise
- 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.
Healthcare Experience
- 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.
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
- PhD in 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
JoiningC the Signsis 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.
- 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.
Seniority level
Employment type
Job function
- Engineering and Information Technology
Industries
- Hospitals and Health Care
#J-18808-Ljbffr
