Note: The job is a remote job and is open to candidates in USA. Insight is a Fortune 500 Company focused on delivering innovative technology solutions. They are seeking a Principal Data Scientist to lead AI and machine learning initiatives within the healthcare and life sciences sectors, bridging clinical needs with technical execution to operationalize AI solutions.
Responsibilities
- Lead the design of AI and ML solutions for healthcare and life sciences use cases, including clinical decision support, workflow automation, operational intelligence, patient-facing insights, and knowledge retrieval across complex healthcare data environments
- Design and guide implementation of generative AI solutions using the Google Cloud AI ecosystem, including Vertex AI, Gemini, model evaluation workflows, retrieval-augmented generation patterns, and enterprise-grade deployment approaches
- Architect and prototype agentic AI solutions that can reason across clinical, operational, and knowledge-based workflows while maintaining appropriate controls, traceability, and human-in-the-loop oversight
- Develop and guide machine learning approaches for classification, prediction, summarization, entity extraction, document intelligence, and other healthcare-relevant use cases using structured, semi-structured, and unstructured data
- Partner with client stakeholders to evaluate data quality, lineage, terminology, interoperability considerations, and clinical workflow fit before advancing AI use cases into production
- Define evaluation strategies for accuracy, relevance, bias, safety, drift, explainability, and clinical appropriateness, ensuring AI outputs can be trusted by healthcare stakeholders
- Serve as a senior technical advisor to client leaders, translating complex data science and Gen AI concepts into practical roadmaps, business value narratives, and implementation plans
- Mentor data scientists, engineers, and consultants while contributing reusable healthcare AI patterns, accelerators, evaluation frameworks, and delivery playbooks for Insight
Skills
- 10+ years of experience in data science, machine learning, healthcare analytics, clinical AI, or applied AI solution delivery, ideally within consulting or enterprise client environments
- Strong understanding of clinical workflows, healthcare operations, clinical documentation, patient data, provider environments, payer/provider dynamics, or life sciences data use cases
- Hands-on experience with Google Cloud AI and data services, especially Vertex AI, Gemini, BigQuery, document AI, model deployment, and enterprise ML workflows
- Practical experience designing Gen AI and agentic solutions, including prompt engineering, tool use, orchestration patterns, RAG architectures, guardrails, and human review workflows
- Strong foundation in supervised and unsupervised learning, NLP, model evaluation, feature engineering, experimentation, and production ML lifecycle practices
- Understanding of healthcare data sensitivity, PHI protection, explainability, model risk, clinical validation, and governance expectations for AI-enabled healthcare solutions
- Exceptional communication skills with the ability to translate clinical and technical complexity into business-aligned recommendations for executives, clinical leaders, and technology teams
- Google Cloud Professional Machine Learning Engineer, Professional Data Engineer, or relevant Google Cloud AI certifications
- Databricks Machine Learning, TensorFlow, or other relevant ML and analytics certifications
- Certifications or training related to healthcare data, HIPAA, clinical analytics, Responsible AI, or AI governance are a plus
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