Job Description
Join QuantumLeap Labs as a Senior Data Scientist to revolutionize AI-driven solutions for healthcare diagnostics. We're seeking a visionary leader to architect cutting-edge machine learning models that transform patient outcomes. Our dynamic team operates at the intersection of computational biology and advanced analytics, building systems that process terabytes of genomic data to predict disease patterns with unprecedented accuracy.
As part of our innovation hub in San Francisco, you'll collaborate with world-class researchers to develop scalable algorithms that power next-generation diagnostic tools. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to publish breakthrough research in top-tier scientific journals.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive healthcare analytics
- Lead cross-functional projects integrating genomic data with electronic health records
- Develop novel deep learning architectures for multi-omic data fusion
- Translate complex statistical findings into actionable clinical recommendations
- Mentor junior scientists and establish best practices for data validation
- Present research findings at international conferences and peer-reviewed publications
Qualifications
- PhD in Computer Science, Statistics, or Computational Biology with 5+ years industry experience
- Expertise in Python, TensorFlow/PyTorch, and cloud ML platforms (AWS/GCP)
- Proven track record of publishing in Nature/Science journals or top ML conferences
- Strong background in statistical modeling and experimental design
- Experience with large-scale genomic data processing (WES, RNA-seq)
- Demonstrated ability to translate technical concepts for clinical stakeholders
- Portfolio of deployed ML models in healthcare or life sciences domains