Sr Data Scientist

Responsibilities:

• Design and implement advanced computational models to forecast the seasonality of infectious diseases.
• Analyze and interpret large biological datasets using machine learning and statistical techniques to uncover patterns, trends, and insights.
• Integrate experimental data with computational predictions to develop novel predictive algorithms with interactive learning approaches.
• Conduct sophisticated analyses of large-scale biological datasets to derive insights and decision making.

Qualifications:

• PhD in Computer Science, Computer Engineering, Bioinformatics, or a related field with 5+ years’ experience; or an MS in one of these fields with 8+ years of relevant experience in a fast-paced environment.
• Strong background in bioinformatics, algorithm development, machine learning and statistical modeling techniques.
• 5+ years’ Industry experience in designing, developing, and implementing bioinformatics workflows, data analytics, and predictive modeling.

Key Skills:

• Machine learning.
• Data visualization.
• Communication.
• Programming.
• Big data.
• Critical thinking
• Python.
• Statistical analysis.
• Data Science.

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