Bioinformatics Scientist, Machine Learning

SAGA Diagnostics is a personalized cancer diagnostics and disease monitoring company seeking a Bioinformatics Scientist focused on Machine Learning to help advance efforts toward tracking minimal residual disease (MRD) using next-generation sequencing (NGS) and novel computational approaches.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or related field.
• At least 2-3 years of postdoctoral or industry experience preferred, with demonstrated contributions in NGS data analysis and algorithm development.
• Strong foundation in machine learning, including GLMs, tree-based methods, and neural networks.
• Experience working with biological datasets, especially DNA sequencing and liquid biopsy.
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) for biological data.
• Proficient in Python and its scientific computing libraries (e.g., NumPy, Pandas, Scikit-learn)
• Exposure to cloud computing environments (preferably AWS).

Benefits

• Competitive Compensation and company wide benefits plan
• Opportunities for career advancement and professional development.
• A collaborative and innovative work environment dedicated to improving oncology outcomes.