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Enveda

Data Science Intern

Enveda

. Learn how to develop data-driven solutions tailored to the drug discovery industry as part of the Data Science team .

Posted 11/10/2026internshipRemote • United States, CanadaEntry Level💰 $5,000 - $8,500 per monthWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing data-driven solutions for the drug discovery industry, with strong skills in Python for data analysis, machine learning, and statistical methods. Capable of collaborating with scientists and presenting scientific results effectively through data visualization and clear communication.

Highest-signal resume keywords
Python For Data AnalysisMachine LearningStatistical AnalysisMetabolomics Data ExperienceScientific Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisMachine LearningStatistical AnalysisResearch SkillsData VisualizationCoding AgentsMulti-Step ReasoningTask Specification WritingAI Output ValidationMetabolomics
Soft Skills
CollaborationClear CommunicationPresentation Skills
Tools & Technologies
Claude CodeCursorLC-MSNMR
Certifications & Qualifications
PhD Program Enrollment
Industry Keywords
Drug DiscoveryComputational BiologyComputational ChemistryMass SpectrometryAI Application

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Learn how to develop data-driven solutions tailored to the drug discovery industry as part of the Data Science team
  • Collaborate on machine learning for mass spectrometry
  • Collaborate on computational biology and computational chemistry
  • Own a project from scientific question to result
  • Inform how Enveda applies AI and data science to drug discovery
  • Work with scientists in the field

Requirements

What you’ll need
  • Strong scientific reasoning and research skills, shown through publications, preprints, a thesis, or projects
  • Familiarity with LLMs and coding agents, including tool use and multi-step reasoning, and experience using them to build analyses (Claude Code, Cursor, or similar)
  • Ability to write clear task specifications and to validate AI output with tests, sanity checks, and controls
  • Python for data analysis, including the ability to read, debug, and review code written by an AI tool
  • Solid grasp of statistics, probability, and machine learning
  • Ability to present scientific results clearly and quickly, through data visualization and in writing
  • Experience with metabolomics data, from LC-MS or NMR
  • Based in the US or Canada
  • Currently enrolled in a PhD program (strongly preferred)

Benefits

Comp & perks
  • Work-Life Harmony
  • Collaborative Culture