Target Prioritization CS Intern

About This Role

This internship supports the Target Prioritization Team by building a new framework for proximity modulation, identifying novel therapeutic strategies, and integrating scientific knowledge with market analyses. The role involves developing computational tools to analyze diverse datasets and bridging the gap between technical and non-technical teams.

Responsibilities

• Support the Target Prioritization Team in building a new prioritization framework for proximity modulation
• Identify and rank novel therapeutic strategies
• Develop methods to integrate qualitative scientific knowledge and market analyses into scorable metrics
• Leverage proprietary protein-protein interaction data to link biological pathways to human diseases and uncover druggable vulnerabilities
• Create novel computational tools to retrieve, combine, and analyze diverse datasets
• Bridge the gap between technical and non-technical team members, applying insights from cutting-edge research to evaluate drug targets in real-time

Requirements

• Currently enrolled in or a recent graduate from an undergraduate or graduate program in Computer Science
• Proven experience in software development
• Strong foundation in Python and full-stack development
• Ability to efficiently manage multiple data processing workflows
• Proficiency in data visualization
• Quick to learn and apply new concepts in biology and preclinical drug discovery strategies
• Strong team player and effective individual contributor

Qualifications

• Undergraduate or graduate program in Computer Science

Nice to Have

• Experience with Large Language Models (LLMs) and prompt engineering
• Background in biology
• History of working on projects that merge qualitative scientific information with quantitative analysis
• Previous involvement with financial data to inform strategic decisions
• Strong independent work ethic, capable of driving projects and solving complex problems creatively

Skills

* Required skills