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[Remote] Bioinformatics Scientist, Machine Learning

Work from home Full-time role Hiring

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

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