🛠 Tech Stack

💼 About This Role

You'll work on single-cell bioinformatics and machine learning for genomics to accelerate drug discovery. Your work will directly impact target identification and validation for oncology therapies. Collaborate with a world-class team using cutting-edge technologies.

🎯 What You'll Do

• Analyze single-cell RNA sequencing datasets
• Develop machine learning models for drug response prediction
• Design and execute high-throughput CRISPR screens
• Validate targets through biochemical assays

📋 Requirements

• PhD in bioinformatics, computational biology, or related field
• Experience with large-scale single-cell data analysis
• Proficiency in Python and R programming for data science
• Published research in genomics or machine learning

✨ Nice to Have

• Experience with cheminformatics and small molecule data
• Familiarity with laboratory automation and robotics
• Background in oncology drug discovery

🎁 Benefits & Perks

• 🔬 Cutting-edge research environment
• 🏢 Hybrid work flexibility in South San Francisco
• 📈 Career growth opportunities in biotech
• 🏥 Health insurance coverage

📨 Hiring Process

Submit resume and cover letter explaining your interests.

🚩 Heads Up

• Job description is vague about specific role and responsibilities
• Lists multiple, diverse skill sets suggesting role may be ill-defined