🛠 Tech Stack

💼 About This Role

You'll work in highly interdisciplinary teams using machine learning and single-cell multi-omics to drive antibody drug discovery. You'll support computational drug-ability efforts and integrate insights from deep learning platforms into internal strategies.

🎯 What You'll Do

• Support computational antibody discovery across research programs
• Evaluate and interpret computationally generated antibody candidates
• Contribute computational and structural biology expertise to project teams
• Extract insights from sequence, structural, and modelling data

📋 Requirements

• PhD in computational biology or related field, or Master's with industry experience
• 0–2 years experience in biotech or pharma
• Experience with antibody design and computational approaches
• Knowledge of Python programming

✨ Nice to Have

• Exposure to real-world drug discovery projects
• Experience with other therapeutic modalities (small molecules, nucleic acids)
• Machine learning experience

🎁 Benefits & Perks

• 🏖️ Flexible working arrangements
• 🏥 Health insurance coverage
• 📚 Learning and development opportunities
• 🍽️ Free lunch in the office

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 60 min