About Proxima (formerly VantAI):
Proxima pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. Proxima's in silico platform specializes in modeling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods.
Key Responsibilities:
Support the Target Prioritization Team in building a new prioritization framework suited for the future of proximity modulation, particularly to 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, with a strong foundation in Python and full-stack development
Ability to efficiently manage multiple data processing workflows and demonstrate 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
Preferred Qualifications:
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
Additional Information:
This internship offers the opportunity for high-performing interns to transition to full-time positions, reflecting Proxima's commitment to nurturing talent and fostering professional growth within our team. Salary Range: $40-$60 per hour.
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What We Do
VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods. For more information, please visit http://www.vant.ai.
