About the job
Data Analyst Role in Pharma and Oncology Domain Our organization is seeking a highly skilled data analyst to join our team. The ideal candidate will have strong expertise in data analysis, AI model augmentation techniques, and clinical trial workflows. A bachelor's degree in computational biology, AI, or data science is required. Proficiency in Python and data analysis tools is also essential. Familiarity with AI model augmentation techniques and experience working with foundation models in healthcare or pharma contexts are desired. The selected candidate will be responsible for utilizing and augmenting existing models to generate insights for clinical studies and oncology research. They will collaborate with computational biologists and data scientists to ensure compliance with regulatory standards and advance the field of precision medicine. Key Responsibilities: • Data Analysis: Design and implement data pipelines to extract insights from large datasets. • AI Model Augmentation: Develop and deploy AI models to enhance their performance and accuracy. • Clinical Trial Workflows: Collaborate with cross-functional teams to streamline clinical trial processes. Benefits: • Opportunity to work on high-impact projects. • Collaborative and dynamic work environment. • Professional growth and development opportunities. Requirements: Education: Bachelor's degree in computational biology, AI, or data science. Skills: Proficiency in Python and data analysis tools, familiarity with AI model augmentation techniques. Experience: 10-15 months of experience working with foundation models in healthcare or pharma contexts.
Requirements
- Data Analysis
- AI Model Augmentation
- Python
- Clinical Trial Workflows
Qualifications
- Bachelor's degree in Computational Biology
- AI
- Data Science
Preferred Technologies
- Data Analysis
- AI Model Augmentation
- Python
- Clinical Trial Workflows
Benefits
- Opportunity to work on high-impact projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
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