🛠 Tech Stack

💼 About This Role

You'll join a research group investigating how genome sequence determines regulatory function and aging. You'll develop sequence-based deep learning models to predict gene expression and interpret human genetic variation. This role stands out for its focus on regulatory genomics at the intersection of deep learning and biology.

🎯 What You'll Do

• Design and train deep learning models for biological sequence analysis
• Partner with experimental scientists to connect predictions to biological mechanisms
• Communicate research through publications and open-source software

📋 Requirements

• PhD in computational biology, bioinformatics, or related field
• Deep learning expertise with solid grounding in algorithms and statistics
• Knowledge of molecular biology and genetics with genomic data types
• Hands-on experience with genomics sequencing data, ideally single-cell assays

✨ Nice to Have

• Experience with single-cell genomics
• Familiarity with AI-assisted development tools
• Strong publication record

🎁 Benefits & Perks

• 💰 Estimated base salary range $170k-$233k
• 🎯 Two annual cash bonuses
• 🏥 Health and wellness benefits (presumed)
• 🏢 Onsite work in South San Francisco

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· full day