🛠 Tech Stack

💼 About This Role

You'll analyze large-scale genomic datasets to uncover biological signals for early cancer detection. Your work will directly impact the development of innovative cancer screening technologies. You'll collaborate with a multi-disciplinary team at a pioneering healthcare company.

🎯 What You'll Do

• Analyze large-scale NGS datasets to identify cancer molecular patterns
• Design and validate statistical methods and machine learning models
• Collaborate with interdisciplinary teams to translate insights to decisions
• Present research findings with clarity and rigor

📋 Requirements

• Ph.D. in Cancer Genomics, Bioinformatics, or related field
• Proven experience working with large-scale omics datasets in R or Python
• Expertise in genomics and hands-on knowledge of NGS analysis methods
• Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch

✨ Nice to Have

• Experience in hematological oncology research
• Knowledge of cancer epigenetics
• Experience with deep learning or large language models for genomics

🎁 Benefits & Perks

• 🏖️ Flexible work arrangement with hybrid on-site/remote schedule
• 💰 Competitive compensation (estimated range $150k-$200k)