Clinical Trials Data Analytics Lead
3 weeks ago
We are seeking a highly skilled data analyst to join our team in Bangalore. As a senior data scientist, you will be responsible for analyzing complex data sets related to clinical trials and developing predictive models to improve trial outcomes.
About the RoleThe ideal candidate should have at least a decade of experience in applying AI, ML, NLP, and production automation/optimization techniques within the CRO industry. You should have advanced expertise in AI/ML/NLP methodologies, ensuring optimal model selection and implementation based on specific project requirements.
Key Qualifications- Domain Knowledge: Deep understanding of the clinical trials landscape, including regulatory compliance, data management practices, trial phases, and the unique challenges posed by the industry.
- Technical Proficiency: Expertise in popular AI/ML/NLP frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and NLTK.
- Big Data Technologies: Comfortable working with big data technologies and Windows Azure cloud platform.
- Research & Development: History of pioneering research initiatives that enhance trial outcomes, patient recruitment strategies, drug efficacy and medical devices predictions using AI/ML/NLP techniques.
- Data Wrangling: Proficiency in handling, cleaning, and preprocessing diverse datasets, especially those common in clinical trials, to make them suitable for AI/ML/NLP applications.
- Model Development: Designing, building, testing, and deploying predictive or analytical models tailored to address specific challenges in clinical trials, such as patient recruitment, adverse event prediction, or data analysis from patient narratives.
- NLP Expertise: Extracting insights from unstructured text data like patient medical records, clinical notes, or literature, using advanced AI/ML/NLP and Automation techniques.
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