
201 - 500 employees
Founded 2019
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
💰 $150M Series D - Enveda Biosciences on 2025-09
Healthcare • Consulting • Manufacturing
Enveda is a biotechnology company that leverages a proprietary platform to decode and translate nature’s chemical diversity for accelerated small-molecule drug discovery. By rapidly purifying, identifying, and characterizing molecules from complex natural sources, Enveda aims to put vast, evolutionarily derived chemical space into the hands of drug hunters to discover medicines faster and expand the pipeline of therapeutics.
🔥 37 minutes ago
🌐 United States, Canada – Remote
💵 $5k - $8.5k / month
👨🎓 Internship
⚪️ Entry-level
📊 Data Scientist
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Enveda's careers page, not through a job board
First seen by Remote Rocketship 37 minutes ago

201 - 500 employees
Founded 2019
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
💰 $150M Series D - Enveda Biosciences on 2025-09
Healthcare • Consulting • Manufacturing
Enveda is a biotechnology company that leverages a proprietary platform to decode and translate nature’s chemical diversity for accelerated small-molecule drug discovery. By rapidly purifying, identifying, and characterizing molecules from complex natural sources, Enveda aims to put vast, evolutionarily derived chemical space into the hands of drug hunters to discover medicines faster and expand the pipeline of therapeutics.
• 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
• 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)
• Work-Life Harmony • Collaborative Culture
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