Sr AI Data Engineer (Remote )

Cognisol is seeking a highly skilled AI Data Engineer to join their team for Project Acuity. The ideal candidate will have a strong background in AI and data engineering, providing solution architecture for AI use cases and collaborating with cross-functional teams.

Responsibilities:

• Design and implement solution architecture for AI use cases in Project Acuity
• Develop algorithms to calculate scores based on previous clinical trial performance history and engagement
• Categorize medical diagnoses into body systems, medications, treatments, diagnoses, and high-level therapeutic areas
• Collaborate with cross-functional teams to ensure seamless integration of AI solutions
• Ensure data integrity, security, and compliance with relevant regulations
• Optimize data processing workflows for efficiency and scalability
• Provide technical leadership and mentorship to junior team members

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
• Minimum of 5 years of experience as an AI Data Engineer or similar role
• Strong knowledge of AI, machine learning, and data engineering principles
• Proficiency in programming languages such as Python, R, or Java
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark)
• Familiarity with healthcare data standards and regulations (e.g., HIPAA)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Experience in the healthcare or clinical trials industry
• Knowledge of natural language processing (NLP) techniques
• Certification in AI or data engineering