Job Description
Join our pioneering team at QuantumLeap Analytics, where we transform complex scientific challenges into breakthrough solutions. We're seeking a visionary Senior Data Scientist to lead cutting-edge research in computational biology and AI-driven drug discovery. Work alongside Nobel laureates and industry disruptors in our state-of-the-art labs.
As a key member of our R&D division, you'll develop predictive models that accelerate medical breakthroughs while mentoring junior scientists. Our collaborative culture fosters innovation through hackathons, patent collaborations, and quarterly research symposiums.
Responsibilities
- Design and implement machine learning pipelines for genomic data analysis
- Lead cross-functional projects with biotech and pharmaceutical partners
- Publish research in peer-reviewed journals and present at international conferences
- Optimize computational workflows for high-performance computing clusters
- Mentor junior scientists and drive best practices in data visualization
- Secure research grants and manage scientific partnerships
Qualifications
- PhD in Computational Biology, Bioinformatics, or related field
- 5+ years of experience in Python/R with scientific computing libraries
- Expertise in deep learning frameworks (TensorFlow/PyTorch)
- Proven track record of peer-reviewed publications
- Familiarity with AWS/GCP cloud infrastructure
- Strong background in statistical modeling and experimental design
- Experience with FDA regulatory compliance in healthcare tech