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Job Description: Senior Data Scientist (AI/ML/NLP in Clinical Research and CRO)
Responsibilities:
- Lead AI/ML/NLP model development to address clinical challenges (e.g., patient recruitment, adverse event prediction, data analysis).
- Conduct exploratory data analysis and feature engineering to enhance model performance.
- Collaborate with cross-functional teams (biostatisticians, clinicians, regulatory, IT) to ensure compliance and project success.
- Mentor junior data scientists and effectively communicate findings to non-technical stakeholders.
Qualifications:
- Expertise in AI/ML/NLP techniques such as supervised/unsupervised learning, deep learning, sentiment analysis, and text summarization.
- Strong skills in tools and frameworks like TensorFlow, PyTorch, Scikit-learn, NLTK, BERT, and related technologies.
- In-depth knowledge of clinical trials, regulatory compliance, and data privacy.
- Proven experience in model development, predictive algorithms, and process automation in clinical research.
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