SAGA Diagnostics · 19 hours ago
Bioinformatics Scientist, Machine Learning
United States
Full-time
Remote
Mid, Senior Level
2+ years expSAGA 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.
BiotechnologyGeneticsMedicalOncology
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
Qualification
Required
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
Preferred
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
SAGA Diagnostics
Liquid biopsy testing specialists. Ultrasensitive cancer diagnosis and monitoring to 0.001% variant frequency.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$17.96MKey Investors
Hadean VenturesEASMESmiLe Incubator
2021-06-29Series A· $12.44M
2020-09-08Series Unknown
2019-06-11Series A· $4.23M
Recent News
2026-01-13
2026-01-07
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