Enveda Biosciences
Biotechnology • Pharmaceuticals • Science
Enveda Biosciences is a pioneering company focused on revolutionizing drug discovery by harnessing the untapped potential of the natural world. Positioned at the forefront of biotechnology, Enveda utilizes a cutting-edge platform that rapidly deciphers nature's hidden chemistry, allowing for the discovery of new medicines at unprecedented speeds. By leveraging billions of years of evolutionary intelligence, the company is transforming the process of identifying, purifying, and characterizing molecular structures to accelerate the development of new treatments. Enveda's innovative approach aims to provide hope and better health outcomes for millions globally by significantly reducing the time and cost associated with traditional drug discovery methods.
51 - 200 employees
🧬 Biotechnology
đź’Š Pharmaceuticals
🔬 Science
Data Science Intern
November 20
Enveda Biosciences
Biotechnology • Pharmaceuticals • Science
Enveda Biosciences is a pioneering company focused on revolutionizing drug discovery by harnessing the untapped potential of the natural world. Positioned at the forefront of biotechnology, Enveda utilizes a cutting-edge platform that rapidly deciphers nature's hidden chemistry, allowing for the discovery of new medicines at unprecedented speeds. By leveraging billions of years of evolutionary intelligence, the company is transforming the process of identifying, purifying, and characterizing molecular structures to accelerate the development of new treatments. Enveda's innovative approach aims to provide hope and better health outcomes for millions globally by significantly reducing the time and cost associated with traditional drug discovery methods.
51 - 200 employees
🧬 Biotechnology
đź’Š Pharmaceuticals
🔬 Science
đź“‹ Description
• Collaborate on machine learning for mass spectrometry. • Engage in computational biology and chemistry projects. • Analyze data and convey results visually and in writing.
🎯 Requirements
• Strong scientific reasoning and research skills • Proficiency in the Python data science stack (Pandas, NumPy, PyTorch) • Experience with biomedical data, preferably metabolomics
🏖️ Benefits
• Culture • Medical • Block Leaves • Work-Life Harmony
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