Job Description
Join QuantumLeap Labs at the forefront of scientific innovation! We're seeking a visionary Senior Data Scientist to transform complex biological data into groundbreaking discoveries. Our multidisciplinary team pioneers AI-driven solutions for precision medicine and sustainable technologies. You'll leverage cutting-edge machine learning to decode genomic patterns, optimize clinical trials, and accelerate drug discovery. This role offers unparalleled opportunities to publish research, lead cross-functional projects, and shape the future of healthcare technology.
Responsibilities
- Design and implement advanced ML models for genomic sequence analysis and biomarker discovery
- Lead end-to-end data science projects from hypothesis to clinical deployment
- Collaborate with bioinformaticians and medical researchers on translational research initiatives
- Develop scalable data pipelines for processing multi-omics datasets (genomics, proteomics, metabolomics)
- Translate complex scientific findings into actionable business insights for pharma partners
- Maintain rigorous data governance protocols for sensitive patient information
- Mentor junior scientists and publish findings in peer-reviewed journals
Qualifications
- PhD in Computational Biology, Bioinformatics, or related field (MS with 5+ years experience)
- Expertise in Python/R with 3+ years applying ML to biological datasets
- Proven experience with deep learning frameworks (PyTorch/TensorFlow) for sequence modeling
- Familiarity with cloud platforms (AWS/GCP) and containerization technologies
- Strong statistical background in experimental design and hypothesis testing
- Publication record in computational biology or precision medicine
- Experience with regulatory compliance (HIPAA, GDPR) in healthcare data
- Excellent communication skills for technical and non-technical stakeholders