Bioinformatics & Data Analysis for Life Sciences

Bioinformatics & Data Analysis for Life Sciences provides a comprehensive foundation of bioinformatics and data analysis for biotech, pharmaceutical, and healthcare professionals. Participants will gain practical experience in handling complex biological data, applying statistical and computational methods, and leveraging AI for research and decision-making. Whether working in drug discovery, clinical research, regulatory compliance, or healthcare analytics, this workshop equips professionals with the technical expertise needed to facilitate data-driven advancements in life sciences.

Workshop topics include:

• Fundamentals of Bioinformatics & Data Analysis - The role of data science in life sciences innovation.
• How to Analyze and Process Genomic Data - Techniques for handling sequencing data, annotations, and computational biology workflows.
• Applying Machine Learning to Life Sciences – AI-based modeling for drug discovery, personalized medicine, and healthcare applications.
• Data Integrity & Visualization Techniques – Best practices for ensuring accuracy, reporting, and regulatory compliance.
• Introduction to Industry Tools – Overview of R, Python, Bioconductor, Galaxy, cloud-based platforms, and database management used in life sciences research.

This workshop is designed for professionals in biotech, pharmaceuticals, contract research organizations (CROs), and healthcare analytics, seeking to enhance research capabilities, improve data-driven decision-making, and develop expertise in bioinformatics.