Enveda

1 Job

315 Employees

About the Company

Enveda is a biotechnology company that is learning from life's chemistry to create better medicines faster. Enveda uses AI-powered tools to identify and characterize a wide range of molecules produced by living organisms--the vast majority of which have never been explored by science--creating a database of chemical biodiversity: the library of life. By growing, organizing, translating, and searching this unique library, Enveda learns from life's evolved solutions to address today's pressing medical needs. For more information on Enveda, visit enveda.com.

Listed Jobs

Company Name: Enveda
Job Title: Data Science Intern (Canada)
Job Description: **Job Title:** Data Science Intern **Role Summary:** Remote internship focused on applying data science, machine learning, and computational biology to accelerate drug discovery. The role supports the development of data‑driven solutions for mass spectrometry analysis and related biomedical projects. **Expectations:** - Strong scientific reasoning, analytical, and research abilities. - Proficiency with the Python data‑science stack (e.g., Pandas, NumPy, PyTorch). - Experience handling biomedical datasets, preferably metabolomics. - Ability to communicate findings through visualizations and written reports. **Key Responsibilities:** - Develop and refine machine‑learning models for mass‑spectrometry data. - Participate in computational biology and chemistry projects supporting drug discovery. - Create clear data visualizations and technical documentation to convey scientific results. - Collaborate with cross‑functional teams to integrate data‑science solutions into research pipelines. **Required Skills:** - Python programming (Pandas, NumPy, PyTorch or similar ML libraries). - Machine‑learning model development and evaluation. - Data analysis and statistical modeling. - Familiarity with biomedical data types, especially metabolomics. - Data visualization (e.g., Matplotlib, Seaborn, Plotly). - Strong written and verbal communication skills. **Required Education & Certifications:** - Currently enrolled in a bachelor’s, master’s, or PhD program in Data Science, Computer Science, Bioinformatics, Computational Biology, Chemistry, or a related scientific discipline. - No specific certifications required; demonstrated coursework or project experience in machine learning and biomedical data analysis is preferred.