🛠 Tech Stack

💼 About This Role

You'll partner with research teams to design and build software infrastructure for distributed ML training on large genomic datasets. Your work will enable efficient exploratory research and classifier development, directly impacting early cancer detection technologies. This hybrid role offers the opportunity to work with multidisciplinary teams in a mission-driven healthcare company.

🎯 What You'll Do

• Identify computational pain points in research experiments.
• Design and build infrastructure for distributed ML training.
• Develop tools for GxP-compliant testing and reproducibility.
• Maintain software environment and monitor system health.

📋 Requirements

• 5+ years developing software for ML or scientific computing.
• Strong Python and Golang or similar systems-level language.
• Experience with PyTorch or TensorFlow.
• Experience with distributed computing like Spark or Ray.

✨ Nice to Have

• Familiarity with AWS and cloud technologies.
• Experience with whole genome sequencing data.
• Advanced degree in computer science or bioinformatics.

🎁 Benefits & Perks

• 🏥 Health Insurance including medical, dental, vision.
• 🧪 Mission-driven work in early cancer detection.
• 💻 Cutting-edge tech stack and research environment.