Data Science Intern

📋 Description

• • Join Enveda as a Data Science Intern and spend 10–12 weeks this summer turning raw mass-spectrometry data into breakthrough drug candidates. You will sit at the intersection of machine learning, computational biology, and chemistry, translating complex metabolomic signals into actionable insights that move our lead programs from bench to bedside.
• • Own end-to-end data pipelines: ingest terabyte-scale LC-MS/MS datasets, clean and normalize peaks, engineer molecular fingerprints, and feed curated tensors into PyTorch models that predict bioactivity, toxicity, and synthetic tractability.
• • Co-design novel neural architectures alongside our ML scientists. Whether it’s a graph neural net that learns from molecular graphs or a transformer that reasons over fragmentation spectra, your code will be peer-reviewed, merged into our internal GitHub, and shipped to production clusters on AWS.
• • Rapidly prototype hypotheses in Jupyter notebooks, then harden the most promising experiments into reproducible Snakemake workflows and Docker containers. Expect to push daily commits, write unit tests, and document everything so that a future teammate can rerun your analysis with a single command.
• • Visualize results that influence critical go/no-go decisions. Build interactive Plotly dashboards that let medicinal chemists explore structure–activity landscapes, or craft publication-ready figures for internal science reviews and external conferences.
• • Collaborate cross-functionally with wet-lab metabolomics scientists, cheminformaticians, and clinical pharmacologists. You will join daily stand-ups, present weekly findings, and receive real-time feedback from domain experts who have spent years decoding nature’s chemical grammar.
• • Contribute to our living knowledge base. Every insight you generate—whether a new feature set that boosts AUROC by 3 % or a negative result that saves weeks of wet-lab work—gets captured in Notion pages and internal wikis that accelerate the entire R&D engine.
• • Participate in our “Failure Friday” retrospectives, where we dissect what didn’t work, celebrate learning, and iterate faster. Your intellectual curiosity and willingness to challenge assumptions will shape both the science and the culture of Enveda.
• • Present a capstone poster during our end-of-internship symposium attended by the CEO, CSO, and external advisors. Previous interns have seen their models advance to IND-enabling studies; your work could directly influence which natural product derivative enters Phase 2 trials next year.
• • Leave with a portfolio of open-source contributions, a letter of recommendation signed by our Head of Data Science, and the satisfaction of knowing that your summer project shortened the path to new medicines for patients who have exhausted all other options.