Data Science Intern
About The Position
Let’s build the future of medicine - together. Join Enveda as a Data Science Intern in a remote position and help us transform natural compounds into life-changing medicines. We’re a team driven by curiosity and innovation - are you ready to make a difference? Remote | Internship | US Compensation: Undergrad ($1125/week), Masters ($1250/week), Phd ($1500/week) What Makes Us Enveda Life is smart, and we can learn from it. We’re reinventing drug discovery by harnessing nature’s intelligence. Our platform identifies new medicines four times faster than the industry standard because patients can’t wait. What sets Enveda apart isn’t just what we do - it’s how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “People Create All Value” , and our success is driven by the extraordinary team turning our mission into reality every day. We’re proud of the momentum we’ve built: - Jan 2024: Named a LinkedIn “Top Startup to Watch” - Mar 2024 & Mar 2025: Forbes America’s Best Startup Employers - Oct 2024: First drug to Phase 1 Clinical Trials - Aug 2025: Raised 150M Series D, gaining Unicorn status These milestones reflect the impact of our team and we’re just getting started, but they’re only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. Your Role in Our Mission At Enveda, every role drives impact. As a Data Science Intern, you’ll be at the forefront of delivering hope to patients everywhere. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry because every breakthrough starts with bold questions and brave actions.
Requirements
- Strong scientific reasoning, analysis, and research skills
- Proficiency in the Python data science stack (Pandas, NumPy, PyTorch, etc.)
- Experience with biomedical data (preferably metabolomics)
- This position is a remote, US based role. Qualified candidates based in North America will also be considered.
Responsibilities
- Collaborate on machine learning for mass spectrometry
- Engage in computational biology and chemistry projects
- Convey scientific results via data visualization and writing
Benefits
- Work-Life Harmony
- Collaborative Culture
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
Number of Employees
101-250 employees
