About:
- The AI Specialist will be responsible for leveraging artificial intelligence (AI) and machine learning (ML) to optimize healthcare and pharmaceutical operations, enhance patient outcomes, and streamline data-driven decision-making.
- This role will focus on automating manual processes, improving data analysis, and deploying AI-powered solutions for clinical, research, and administrative functions.
- The specialist will collaborate with business and IT teams to identify AI opportunities, design and train machine learning models, and ensure seamless integration with enterprise infrastructure.
- They will also develop an AI adoption roadmap, ensure compliance with ethical AI standards and data privacy regulations, and provide training to teams for successful AI adoption.
- Additionally, they will oversee the deployment, monitoring, and continuous optimization of AI solutions to ensure long-term value and scalability.
Key Duties:
- AI Strategy, Governance & Compliance
- AI-Powered Automation & Process Optimization
- AI for Data-Driven Decision-Making, Predictive Analytics & Commercial Strategy
- AI for Patient-Centric Innovation & Personalized Care
Education:
- Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Bioinformatics, Healthcare Informatics, or a related field.
- Strong foundation in AI, machine learning, and data analytics.
- Master’s degree or PhD in AI, Data Science, Healthcare Informatics, or a related discipline (especially for senior roles) – Preferred but not mandatory
- Certifications in AI/ML, Cloud Computing, or Data Science, such as:Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty TensorFlow Developer Certification
IBM AI Engineering Certification
Google Cloud AI/ML Certification
Skills:
- 3-5 years of experience in AI, machine learning, data science, or related fields.
- Hands-on experience in developing and deploying AI models.
- Experience in predictive analytics, sales forecasting, and commercial strategy using AI.
- Experience with data platforms, cloud environments, and database management.
- Experience in automating business processes using RPA or AI-driven workflow tools.
- Exposure to healthcare and pharmaceutical industry standards, data privacy, and compliance.
- Python, SQL, Java, Azure, NLP, AI/ML Frameworks, BI, RPA
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Detailed job spec available on request.
Desired Skills:
- AI
- Python
- Java
- Azure
- BI
- AI Compliance
- AI Automation
Desired Work Experience:
- 5 to 10 years Data Analysis / Data Warehousing