Senior Data Scientist - Health Analytics

About the Role

Our client is seeking a seasoned Senior Data Scientist with a focus on Health Analytics to join their innovative, remote-first team. This role is pivotal in leveraging vast healthcare datasets to generate actionable insights, improve patient outcomes, and optimize healthcare delivery. You will lead projects, develop sophisticated analytical models, and collaborate with healthcare professionals and data engineers to drive data-informed strategies. As a fully remote position, you will enjoy the flexibility to work from your preferred location while contributing to impactful projects that shape the future of healthcare. This is an excellent opportunity for a data scientist passionate about making a difference in the health sector through advanced analytics and machine learning.

Key Responsibilities

• Design, develop, and deploy predictive models and analytical solutions to address complex healthcare challenges, such as disease prediction, patient risk stratification, and treatment effectiveness.
• Extract, clean, and transform large, complex datasets from various healthcare sources (e.g., EHRs, claims data).
• Collaborate with clinical experts, product managers, and stakeholders to define project requirements and translate findings into practical recommendations.
• Build and maintain robust data pipelines and analytical workflows, ensuring scalability and efficiency.
• Communicate findings and insights effectively through visualizations, reports, and presentations to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and health informatics.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Health Informatics, Computer Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a significant focus on healthcare analytics or a related domain.
• Proficiency in programming languages such as Python or R, and extensive experience with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow).
• Strong experience with SQL and working with large, complex datasets.
• Familiarity with healthcare data standards (e.g., HL7, FHIR) and regulatory requirements (e.g., HIPAA) is highly desirable.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and performance-based bonus opportunities.
• Comprehensive health, dental, and vision insurance plans.
• Fully remote work environment with a flexible schedule.
• Significant opportunities for professional development, including advanced training and conference participation.
• A collaborative and mission-driven work culture focused on improving health outcomes.

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