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AI Research Scientist

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: 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.

Technical 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.

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.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Research Scientist, C the Signs

At C the Signs, we're on an incredible journey to revolutionize early cancer detection through our AI-driven platform. As an AI Research Scientist, you'll play a pivotal role in identifying patients at risk of cancer at its earliest and most treatable stages. Our platform has already assessed over 400,000 cancer risks and diagnosed more than 30,000 cancers with a striking 94% accuracy in predicting tumor origin. Imagine the impact your work could have! In this position, you will harness advanced AI technologies and tackle global healthcare challenges head-on. We need a visionary leader who can transform vast, diverse datasets into clinical breakthroughs, ensuring ethical deployment and scaling our AI architecture. Collaborating closely with the CEO, Chief Scientific Officer, and CTO, you'll align our AI strategy with scientific discovery and business goals while seamlessly integrating technology into our overall vision. Your responsibilities will include strategic leadership in developing sophisticated AI models, ensuring ethical guidelines are followed, and building an elite AI team that thrives on innovation. We value creativity and technical excellence, so you’ll spearhead impactful research while navigating regulatory compliance to protect patient data. If you have a passion for AI and its potential to save lives, come join us at C the Signs as we redefine early cancer detection and make a real difference in healthcare!

Frequently Asked Questions (FAQs) for AI Research Scientist Role at C the Signs
What are the main responsibilities of an AI Research Scientist at C the Signs?

As an AI Research Scientist at C the Signs, your core responsibilities include owning the AI strategy for early cancer detection, developing advanced AI models that integrate various healthcare datasets, ensuring ethical deployment of AI systems, and leading a team dedicated to innovative research that drives real-world applications.

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What qualifications are required for the AI Research Scientist position at C the Signs?

To qualify for the AI Research Scientist role at C the Signs, candidates should possess a PhD in Machine Learning, Computer Science, or a related field, along with substantial post-graduate experience in healthcare settings. Deep expertise in machine learning, advanced predictive analytics, and familiarity with healthcare data standards are highly desirable.

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How does C the Signs ensure ethical AI deployment in healthcare?

C the Signs is committed to ethical AI deployment by adhering to strict guidelines that mitigate algorithmic bias and ensure fairness and interpretability in our models. As an AI Research Scientist, you'll play a key role in implementing these ethical standards in every aspect of AI development.

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What skills are necessary for success as an AI Research Scientist at C the Signs?

Successful candidates for the AI Research Scientist position at C the Signs should possess advanced skills in machine learning, natural language processing, and predictive analytics. Expertise in Python and familiarity with AI libraries like TensorFlow and PyTorch are also crucial for ensuring effective model development and deployment.

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What are the opportunities for career growth at C the Signs for an AI Research Scientist?

C the Signs offers numerous opportunities for career growth for AI Research Scientists. You'll have access to continuous learning initiatives, the chance to lead impactful projects, and the ability to shape the future of healthcare AI, along with the opportunity to build and mentor a world-class AI team.

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Common Interview Questions for AI Research Scientist
What motivates you to work in AI research within the healthcare sector?

When answering this question, highlight your passion for using AI to improve patient outcomes and the positive impact you hope to have on disease detection and treatment. Discuss how this role resonates with your values and career goals.

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Can you describe a recent AI project you developed and its outcomes?

Focus on a specific AI project that showcases your skills. Discuss the problem, your approach, the technologies used, and the results achieved, emphasizing how your project added value to healthcare applications.

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How do you ensure that your AI models are ethically sound?

Discuss your understanding of ethical AI practices, including bias mitigation and interpretability. Provide examples of how you incorporate ethical guidelines into your research and model development.

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What techniques do you consider essential for processing unstructured healthcare data?

Talk about your expertise in natural language processing and techniques such as entity recognition, summarization, and contextual embeddings. Highlight specific projects where you applied these methods successfully.

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How do you keep your AI skills and knowledge up to date?

Mention your commitment to continuous learning through attending conferences, online courses, and staying active in the research community. Provide examples of resources or networks that you find valuable.

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Describe your experience with regulatory compliance in AI applications.

Discuss your familiarity with healthcare regulations such as HIPAA and GDPR, and give examples of how you’ve incorporated compliance measures into your AI projects to protect patient data.

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What role does collaboration play in your work as an AI Research Scientist?

Emphasize the importance of teamwork in interdisciplinary settings, discussing how effective collaboration can enhance AI development and ensure alignment with clinical and scientific objectives.

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How would you approach building and mentoring an AI team?

Share your strategies for team building, including fostering a culture of innovation, providing growth opportunities, and encouraging open communication to drive technical excellence and collaboration.

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Can you explain how you would design a model for early disease detection?

Outline your approach to model design, discussing data collection, feature selection, algorithm choice, and evaluation metrics. Highlight how you’d ensure the model’s clinical applicability and effectiveness.

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What challenges have you faced in AI projects and how did you overcome them?

Discuss specific challenges you've encountered, such as data limitations or algorithmic biases, and explain the steps you took to address these issues while maintaining project integrity and objectives.

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c the signs is a cancer prediction system that can identify patients at risk of cancer at the earliest and most curable stage of the disease. in under 30 seconds, c the signs can rapidly identify which cancers a patient is at risk of and recomm...

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Full-time, remote
DATE POSTED
December 14, 2024

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