🛠 Tech Stack

💼 About This Role

You'll design generative models of cellular behavior for a TechBio company transforming drug discovery. Your work will enable novel therapeutic strategies grounded in causal inference.

🎯 What You'll Do

• Design generative models of single-cell perturbation experiments.
• Develop methods for counterfactual prediction and experimental design.
• Collaborate with experimental teams to validate computational hypotheses.
• Evaluate models for causal coherence and mechanistic fidelity.

📋 Requirements

• PhD in ML, statistics, computer science, or related field.
• Deep expertise in generative modelling.
• Strong foundations in probabilistic modeling or representation learning.
• Excellence in Python and scalable ML tooling.

✨ Nice to Have

• Experience with single-cell or perturbational datasets.
• Track record of impactful publications or open-source contributions.

🎁 Benefits & Perks

• 🧬 Cutting-edge multiomic datasets
• 💻 Advanced computational infrastructure
• 🤝 Interdisciplinary team collaboration
• 📝 High-impact publications

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Presentation· 90 min

🚩 Heads Up

• Role seniority mismatch: 'Snr/Principal' but no explicit years requirement.
• Broad requirements may imply unrealistic expectations.