[Hiring] Data Science Intern @Enveda

Role Description

As a Data Science Intern at Enveda, you will join our Data Science team and work on machine learning for mass spectrometry, computational biology, and computational chemistry. You will own a project from scientific question to result. Your work will inform how we apply AI and data science to drug discovery, and you will work with some of the strongest scientists in the field.

Here are some example projects from last year’s interns:

• [1]
• [2]
• [3]
• [4]
• [5]

Qualifications

• 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)

Requirements

• We hire for trajectory, not just credentials. If you meet most of the above and care deeply about this problem, we want to hear from you.

Benefits

• Work-Life Harmony
• Collaborative Culture

Company Description

We're a clinical-stage, AI-enabled biotech discovering medicines from nature four times faster than the industry standard. We recently raised $311M in a Series E, bringing total funding to over $845M, and doubled our valuation to $2B. We now have three oral medicines in the clinic, including our lead drug, ENV-294, in Phase 2 trials for eczema and asthma. Forbes named us one of America's Best Startup Employers, and Newsweek recognized us as a Top 100 Most Loved Workplace. We're still early, and most of the best work is ahead of us.