Job Description
Join QuantumLeap Analytics at the forefront of scientific innovation! We're seeking a visionary Senior Data Scientist to transform complex biological datasets into breakthrough discoveries. Collaborate with multidisciplinary teams to pioneer AI-driven solutions for healthcare challenges while shaping the future of precision medicine. Enjoy cutting-edge resources and a culture that champions intellectual curiosity.
Responsibilities
- Design and implement advanced machine learning models for genomic and proteomic data analysis
- Lead cross-functional research projects translating biological insights into clinical applications
- Develop scalable data pipelines processing multi-omics datasets (10TB+ scale)
- Present findings to executive stakeholders and publish in peer-reviewed journals
- Mentor junior scientists and champion data science best practices
- Collaborate with bioinformaticians to optimize computational workflows
Qualifications
- PhD in Computational Biology, Bioinformatics, or related quantitative field
- 5+ years experience applying ML to biological datasets (genomics/proteomics preferred)
- Expertise in Python (PyTorch/TensorFlow) and cloud platforms (AWS/GCP)
- Publication record in bioinformatics or computational biology
- Strong statistical modeling and experimental design skills
- Experience with high-performance computing and parallel processing