Senior Machine Learning Scientist

Research & Model Development: Design, develop, and optimize machine learning models to enhance healthcare delivery and decision-making. Conduct research to identify and implement state-of-the-art algorithms in areas such as natural language processing (NLP), predictive analytics, and recommendation systems.

Data Analysis & Feature Engineering: Collaborate with data engineers and analysts to preprocess, clean, and prepare large, complex datasets. Identify and extract meaningful features to improve model performance and scalability.

Model Deployment & Monitoring: Deploy and integrate machine learning models into production environments, ensuring robustness and reliability. Monitor model performance and iteratively improve using real-world feedback and data.

Collaboration & Leadership: Work closely with cross-functional teams, including engineering, product, and clinical experts, to align AI solutions with business objectives. Mentor junior data scientists and machine learning engineers, fostering a culture of innovation and learning.

Experimentation & Continuous Improvement: Conduct experiments to evaluate and compare algorithms, models, and techniques. Stay updated on the latest trends and advancements in machine learning and AI to drive innovation.

Qualifications: Ph. D. or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.5+ years of experience in machine learning, data science, or AI research and development. Strong expertise in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn. Proven track record of developing and deploying machine learning models in production environments. Deep understanding of algorithms, statistics, and advanced techniques in machine learning and AI.

Preferred Skills: Experience with NLP, computer vision, or time-series analysis. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and scalability. Knowledge of healthcare data standards and compliance (e.g., HIPAA, FHIR).Strong communication and presentation skills to share findings with technical and non-technical stakeholders.

Benefits: Leadership opportunities in shaping AI-driven solutions for a mission-driven organization. The chance to work on impactful projects that improve healthcare access and outcomes. A collaborative and innovative environment focused on professional growth. The ability to apply cutting-edge machine learning techniques to solve real-world problems in healthcare.