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Computer-Aided Drug Discovery Intern - CICoR

Roche
Shanghai, VA Intern
POSTED ON 3/29/2025
AVAILABLE BEFORE 4/27/2025
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Job Summary:

Roche CICoR is seeking a highly motivated computational chemist for an internship mainly focusing on molecular generation in drug discovery.

Qualifications:

  • Master or PhD candidate in computational chemistry, cheminformatics, machine learning or related discipline
  • Fluency in Python and proficiency with machine learning and cheminformatics tools such as PyTorch and RDKit
  • Experience in developing generative models, ideally with a proven track record (e.g. relevant publication or public GitHub repository)
  • Good written and verbal communication skills in both Chinese and English are required
  • Ideally experience in chemical library preparation and molecular generation for small-molecule drug discovery

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

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