Data Science Intern

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Gain expertise in creating data-driven solutions specifically designed for the drug discovery sector as a member of the Data Science team.

• Engage in collaborative efforts on machine learning applications for mass spectrometry.

• Participate in projects involving computational biology and computational chemistry.

• Take ownership of a project from the initial scientific inquiry through to the final results.

• Contribute to the ways in which Enveda utilizes AI and data science within drug discovery.

• Partner with scientists in relevant fields.

⛳️ Requirements

• Demonstrated strong scientific reasoning and research capabilities, evidenced by publications, preprints, a thesis, or relevant projects.

• Knowledge of LLMs and coding agents, including proficiency in tool utilization and multi-step reasoning, with hands-on experience in building analyses (e.g., Claude Code, Cursor, or similar).

• Capacity to draft clear task specifications and to verify AI outputs through testing, sanity checks, and controls.

• Proficiency in Python for data analysis, with the ability to read, debug, and assess code generated by AI tools.

• A solid understanding of statistics, probability, and machine learning principles.

• Capability to present scientific findings effectively and swiftly, utilizing data visualization and written communication.

• Experience with metabolomics data, specifically from LC-MS or NMR techniques.

• Must be located in the US or Canada.

• Currently enrolled in a PhD program (preferred).

🏝️ Benefits

• Work-Life Harmony

• Collaborative Culture