Job Description
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 tot his job Apply tot his job
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