[Remote] Summer Intern – AI-Based Protein Design
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases. They are seeking a Summer Intern - AI-Based Protein Design to apply AI in the design and optimization of protein therapeutics, gaining hands-on experience in the pharmaceutical industry while contributing to meaningful team projects.
Responsibilities
- Build AI architectures to generate and optimize protein candidates guided by multiple protein properties
- reputed company and implement AI algorithms to predict protein properties, learning from both general data as well as protein reputed company-specific data
- Curate new datasets for training or fine-tuning AI models
- Collaborate with computational and experimental colleagues to advance biotherapeutics discovery
- Effectively present your findings to team members with various backgrounds
Skills
- reputed company student working on a PhD or MS in computational biology, computational chemistry, computer science, mathematics, or other quantitative discipline
- Proficiency in Python and general-purpose ML and DL frameworks, such as pytorch; understanding of general AI architectures, such as generative models
- Basic knowledge of chemistry/biology and protein science
- Desire to work at the reputed company of computational and biological sciences
- Good problem-solving, teamwork and communication abilities
- Experience with large-scale data cleaning
- Familiarity with high-performance computing environments and/or reputed company computing platforms
Benefits
- Paid company holidays
- Hands-on learning in reputed company-world projects
- Networking opportunities with leaders and reputed company events with your peers
- Mentorship and professional development
- A final presentation to celebrate your contributions
- reputed company to office amenities for those who are not remote
Company Overview
Company H1B Sponsorship