Job Description
Join QuantumLeap Labs at the forefront of scientific innovation! We're seeking a visionary Senior Data Scientist to transform complex biological datasets into groundbreaking discoveries. As a key member of our interdisciplinary research team, you'll leverage cutting-edge AI and machine learning to solve humanity's most pressing healthcare challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative opportunities to accelerate your impact.
We believe in fostering an environment where curiosity drives progress, and your expertise will directly influence life-saving therapies. With competitive benefits, flexible work arrangements, and a commitment to professional growth, QuantumLeap Labs is the ideal platform for ambitious scientific innovators.
Responsibilities
- Design and implement advanced ML models for genomic and proteomic data analysis
- Collaborate with biologists to translate research questions into data-driven solutions
- Lead cross-functional projects integrating AI with laboratory automation systems
- Develop scalable data pipelines processing terabytes of multi-omic datasets
- Publish research in peer-reviewed journals and present at international conferences
- Mentor junior data scientists and promote best practices in scientific computing
Qualifications
- PhD in Computational Biology, Bioinformatics, or related quantitative field
- 5+ years of experience in biological data analysis using Python/R
- Expertise in deep learning frameworks (TensorFlow/PyTorch) for healthcare applications
- Strong publication record in computational biology or AI-driven drug discovery
- Proficiency with cloud platforms (AWS/GCP) and containerization technologies
- Demonstrated ability to translate complex biological problems into computational solutions