Data Scientist - Healthcare / GenAI

About The Company

Our organization is a leading healthcare technology provider committed to transforming patient care through innovative data science solutions. Recognized consistently as a top workplace, we prioritize fostering a collaborative and inclusive environment that values integrity, excellence, and continuous improvement. With a focus on leveraging advanced analytics and artificial intelligence, we aim to improve clinical outcomes, optimize healthcare operations, and drive strategic decision-making across healthcare systems. Our dedication to innovation and quality has established us as a trusted partner for healthcare providers, payers, and technology companies worldwide.

About The Role

We are seeking a highly skilled and experienced Lead Data Scientist specialized in healthcare data science, Generative AI (GenAI), and Large Language Models (LLMs). This is a hands-on leadership role requiring deep technical expertise and strategic vision. The ideal candidate will have recent, substantive experience developing and deploying advanced AI solutions within healthcare environments, particularly in clinical, patient, EHR/EMR, claims, or population health datasets. The role involves leading end-to-end data science projects, guiding a team of data scientists, and collaborating with cross-functional stakeholders to translate complex data insights into actionable clinical and business outcomes.

The successful candidate will demonstrate a proven track record of deploying production-level GenAI and LLM solutions, such as retrieval-augmented generation (RAG), NLP applications, and enterprise AI systems. They will possess strong leadership capabilities, mentoring junior staff, influencing technical direction, and partnering with senior leadership to align AI initiatives with organizational goals. This position offers an exciting opportunity to shape the future of healthcare AI, drive innovation, and make a meaningful impact on patient care and operational efficiency.

Qualifications

• Bachelor's degree or higher in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM discipline.
• Master's degree in Data Science or related field preferred.
• Minimum of seven (7) years of professional experience in data science.
• Experience within a hospital environment, medical informatics, healthcare IT, healthcare finance/revenue cycle data, or EHR data management is preferred.
• Advanced proficiency in statistical analysis, including regression, hypothesis testing, probability, and distribution concepts.
• Strong expertise in machine learning methodologies such as clustering, decision trees, neural networks, and predictive modeling.
• Proficiency in SQL and database management, along with programming and statistical analysis tools used in modern data science environments.
• Experience working with large, complex, and unstructured healthcare datasets.
• Hands-on experience developing and deploying GenAI/LLM solutions in production environments.
• Proven leadership skills, including mentoring, guiding teams, and influencing technical strategies.
• Excellent communication skills with the ability to translate technical findings into business insights.

Responsibilities

• Lead the development, validation, deployment, and monitoring of advanced machine learning and AI models within healthcare settings.
• Design and implement production-level GenAI and LLM solutions, ensuring scalability, reliability, and compliance with healthcare regulations.
• Collaborate with clinical and business stakeholders to understand requirements and translate them into technical solutions.
• Mentor and guide a team of data scientists, fostering a culture of innovation and continuous learning.
• Influence technical strategy and best practices in healthcare data science and AI deployment.
• Manage multiple projects simultaneously, ensuring timely delivery and alignment with organizational goals.
• Investigate and resolve complex data quality, integrity, and security issues.
• Communicate findings and technical insights effectively to both technical teams and executive leadership.
• Stay updated with emerging trends and technologies in healthcare AI and data science to maintain a competitive edge.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plans with company match.
• Paid time off, holidays, and flexible work arrangements.
• Opportunities for professional development, training, and certifications.
• Inclusive and collaborative work environment with a focus on work-life balance.
• Recognition programs and employee wellness initiatives.

Equal Opportunity

Our organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse teams drive innovation and excellence, and we are dedicated to fostering a workplace where everyone can thrive.