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Program starts July 7, 2024

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Embark on an immersive journey into the realm of ​genomic data science with our project-based learning ​experience. Led by seasoned SeqHub mentors, students ​will explore the intricacies of genomic data analysis and ​its practical applications, focusing on the development of ​a drug biomarker for personalized medicine using the ​public Cancer Dependency Map (DEPMAP) Project.

Through hands-on coding, data pre-processing, ​organization, analysis, and report documentation, ​students will gain invaluable skills and insights into the ​dynamic field of genomic data science and its pivotal role ​in drug discovery.

Throughout the program, students will:

• Gain a comprehensive understanding of genomic data ​analysis principles and techniques, including ​navigating and utilizing public genomic databases ​like the Cancer Dependency Map (DEPMAP) Project.
  
• Deepen proficiency in coding, data pre-processing, ​organization, and analysis of genomic data, exploring ​its application in drug discovery and personalized ​medicine through best practices and machine ​learning.
  
• Enhance analytical and problem-solving skills ​through hands-on project work and collaborative ​learning.
  

$3000

• Access to mentor-led sessions for up to ​12 hours throughout the program duration
• 3 months access to the AI-powered ​Learning Management System.

Duration

• 6 weeks
• July 7 - August 16, 2024
• Mentor-led sessions scheduled for ​2 hours per week.

Onboarding

At the beginning, students will meet with a ​SeqHub Academy mentor to plan and discuss ​a flexible schedule that may be able to ​accommodate their needs.

Embark on this transformative learning ​experience and unlock the boundless potential ​of genomic data science in revolutionizing ​healthcare and drug discovery!

Commitment

• 6 hours weekly for live sessions
• 12 hours weekly for self-paced learning

Prerequisite

Intermediate Level Python Programming

Course Support

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