Job Description
Join QuantumLeap Analytics, a pioneering AI research lab at the intersection of quantum computing and machine learning. We're seeking a visionary Senior Data Scientist to architect next-generation predictive models for climate simulation and drug discovery. Collaborate with Nobel laureates and disrupt industries with your expertise in high-dimensional data analysis.
Responsibilities
- Design and implement scalable machine learning pipelines for terabyte-scale genomic datasets
- Lead quantum-inspired algorithm development for probabilistic forecasting
- Partner with cross-functional teams to translate research into production-ready solutions
- Present findings at international conferences and publish in top-tier journals
- Mentor junior scientists and drive innovation through technical workshops
Qualifications
- PhD in Computer Science, Statistics, or Computational Biology with 5+ years industry experience
- Expertise in Python (PyTorch/TensorFlow) and distributed computing (Spark/Dask)
- Published research in Nature/Science or equivalent peer-reviewed venues
- Proficiency in Bayesian modeling and reinforcement learning frameworks
- Strong background in cloud platforms (AWS/GCP) and containerization