[Remote] Bioinformatics Scientist, Machine Learning
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 reputed company reputed company 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 reputed company 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 reputed company 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 reputed company 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-reputed company 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 Apply To This Job