Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field. Ph.D. preferred.
Proven experience in data analysis, machine learning, and AI model development, preferably in the healthcare domain.
Proficiency in programming languages such as Python, R, and familiarity with python-notebooks for model development and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Strong understanding of statistical methods, data mining techniques, and predictive modeling.
Experience with data preprocessing, feature engineering, and model evaluation.
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
Proven track record of delivering high-quality solutions on time and within budget.
Knowledge of healthcare standards and regulations (e.g., HIPAA) is a plus.
Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.