Remote Position

Lead Data Scientist – Healthcare & Generative AI (USC and GC only)

🌍 Remote · United States 💼 Full-time

🚀 We're Hiring: Lead Data Scientist – Healthcare & Generative AI🧠 Are you a hands-on Data Science leader passionate about Generative AI, LLMs, and healthcare innovation? We're looking for an experienced Lead Data Scientist to drive advanced data science initiatives, develop production-ready AI solutions, and transform complex healthcare data into actionable insights. This role is ideal for a technical leader who combines deep expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) with hands-on experience deploying AI solutions in production environments. 💼 Role OverviewAs a Lead Data Scientist, you'll lead the development and deployment of sophisticated machine learning models, guide cross-functional teams, and translate complex data science initiatives into meaningful business and clinical outcomes. You'll play a key role in advancing healthcare innovation through applied data science, statistical modeling, and cutting-edge AI technologies. 🔥 Key Responsibilities 🤖 Machine Learning & GenAI: Lead the development and deployment of advanced machine learning models, with a focus on Generative AI and LLMs in production environments. ⚙️ End-to-End Model Lifecycle: Oversee the complete data science lifecycle, from model development and validation to deployment, monitoring, and continuous improvement. 👥 Technical Leadership: Mentor and guide data scientists, promote technical excellence, and foster a culture of innovation. 🏥 Healthcare Innovation: Apply advanced data science techniques to healthcare datasets, supporting meaningful business and clinical outcomes. 📈 Model Optimization: Evaluate, refine, and improve existing models to enhance predictive performance and applicability. 🤝 Stakeholder Collaboration: Partner with senior stakeholders to align data science initiatives with business objectives and healthcare regulations. 💬 Communicate Insights: Present complex analytical findings clearly to both technical and non-technical audiences. 🎯 Required Qualifications🎓 Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field. A Master's degree is preferred. 💼 7+ years of experience in Data Science, with significant experience working with healthcare data. 🧠 Proven hands-on experience deploying Generative AI and LLM solutions in production. 📊 Strong foundation in machine learning algorithms, statistical analysis, and predictive modeling. 🏥 Experience applying data science methodologies to healthcare-related challenges. 👨‍💻 Demonstrated ability to lead technical projects, mentor team members, and manage competing priorities. 🗣️ Excellent communication skills, including the ability to present complex insights to senior leadership. 🚨 Important: Who We're Looking ForWe're specifically seeking hands-on Data Science professionals with experience in: ✅ Machine learning model development and deployment ✅ Generative AI and LLM implementation in production ✅ Statistical analysis and predictive modeling ✅ Healthcare Data Science and healthcare datasets ✅ Technical leadership combined with hands-on execution ❌ Profiles focused primarily on the following are NOT a fit: Analytics management without hands-on Data Science ETL and Data Engineering BI reporting and dashboard development Reporting-focused analytics roles without machine learning modeling Candidates without practical Generative AI or LLM deployment experience The ideal candidate is a hands-on Data Scientist first, with the technical leadership skills to drive innovation and deliver results. 💰 Compensation & Work Arrangement💵 Salary: $143,000–$180,000 USD annually 🏡 Work Arrangement: Primarily remote 🕒 Schedule: Flexible working hours ✈️ Travel: Up to 20% for business meetings 📩 Interested or Know Someone Who Would Be a Great Fit?If you have strong hands-on experience in Healthcare Data Science, Machine Learning, and Production-Ready GenAI/LLM Solutions, we'd love to connect! 📨 Send me your resume or tag someone who might be a great fit.

Apply Now →

More Open Positions

Explore similar remote opportunities