Note The job is a remote job and is open to candidates in USA. SAGA Diagnostics is a personalized cancer diagnostics and disease monitoring company focused on molecular genetic analysis of circulating tumor DNA (ctDNA). They are seeking a Bioinformatics Scientist focused on Machine Learning to advance efforts toward tracking minimal residual disease using next-generation sequencing and novel computational approaches.

Responsibilities

• Apply and adapt machine learning and statistical modeling approaches for biomarker discovery and longitudinal disease tracking
• Build scalable, production-ready analysis pipelines that meet clinical-grade performance standards
• Drive the adoption and refinement of machine learning best practices, including model interpretability, uncertainty estimation, and reproducibility
• Design computational strategies for ultrasensitive variant calling, error suppression, and signal extraction from sequencing data
• Collaborate cross-functionally with bioinformatics and data scientists, R&D and clinical teams to explore new ML approaches and evaluate their potential impact
• Actively participate in code and design reviews, with a focus on ML model quality, reproducibility, and integration into production pipelines Skills
• 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)
• Eagerness to learn and teach new methods and contribute to a collaborative, fast-paced team
• Familiarity with MRD or ctDNA tracking approaches is a plus
• Prior contributions to open-source bioinformatics or ML tools
• Knowledge of regulatory documentation and clinical validation processes 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. Company Overview
• Liquid biopsy testing specialists. Ultrasensitive cancer diagnosis and monitoring to 0.001% variant frequency. It was founded in 2016, and is headquartered in Lund, Skane Lan, SWE, with a workforce of 201-500 employees. Its website is Apply To this Job

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