
4.1
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Key Responsibilities:
- Conduct AI and machine learning research focused on healthcare and medical data applications.
- Develop, train, and optimize predictive and diagnostic models using clinical, genomic, and imaging data.
- Collaborate with clinical researchers and bioinformatics teams to translate research findings into practical hospital solutions.
- Work on data preprocessing, feature engineering, and model evaluation using large-scale healthcare datasets.
- Prepare research publications, technical reports, and presentations to share findings with internal and external stakeholders.
- Contribute to the development of AI-based decision support systems for improved patient outcomes.
- Stay updated with emerging trends in AI, ML, and healthcare informatics.
Skills & Competencies:
- Strong programming knowledge in Python / R / TensorFlow / PyTorch.
- Proficiency in data visualization and analysis tools (Power BI, Tableau preferred).
- Experience with NLP, computer vision, or deep learning frameworks.
- Understanding of healthcare data standards (HL7, FHIR, DICOM) is an advantage.
- Strong analytical, problem-solving, and research writing skills.
- Excellent communication and presentation abilities.
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