Let’s build the future of medicine - together.
Remote (US or Canada) | InternshipCompensation per month: US - Masters ($5000 USD), PhD ($6000 USD) & Canada - Masters or PhD ($8500 CAD)
YOUR ROLE
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].
WHAT YOU'LL DO
- Learn how to develop data-driven solutions tailored to the drug discovery industry as part of our Data Science team
- Collaborate on machine learning for mass spectrometry
- Collaborate on computational biology and computational chemistry
WHAT WE'RE LOOKING FOR
- 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)
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.
ABOUT ENVEDA
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.
Benefits: Work-Life Harmony | Collaborative Culture
Our Process: We move fast and respect your time. Typically: a recruiter screen → hiring manager conversation → work sample, technical interview, & culture interview.
Our Values: Curiosity | Agency | Journey | Charity | Unity
Enveda is protecting Job Seekers
We care deeply about creating a safe, respectful experience for every applicant, so we wanted to share a few guidelines to help you spot anything that doesn’t feel right.
- You’ll always meet real Enveda team members through video or in-person conversations before receiving an offer.
- All communication from us will come from an @enveda.com or @envedabio.com email address.
- We’ll never ask you to purchase equipment, send money, or share sensitive banking details as part of any step in our recruiting process.
If something feels off or you’re unsure whether a message is truly from Enveda, please reach out at anytime at [email protected].
Skills Required
- Strong scientific reasoning and research skills demonstrated through publications, preprints, a thesis, or projects
- Familiarity with LLMs and coding agents, including tool use and multi-step reasoning
- Experience using LLMs or coding agents to build analyses
- Ability to write clear task specifications and validate AI output with tests, sanity checks, and controls
- Python experience for data analysis, including reading, debugging, and reviewing AI-generated code
- Solid understanding of statistics, probability, and machine learning
- Ability to clearly and quickly present scientific results through data visualization and writing
- Experience with metabolomics data from LC-MS or NMR
- Based in the United States or Canada
- Currently enrolled in a PhD program
What We Do
At Enveda, we are systematically translating molecules found in medicinal plants into new drugs for challenging diseases. Our platform harnesses nature's complexity with the help of cutting-edge advancements in knowledge graphs, machine learning, and metabolomics.
