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Machine Learning Algorithm Consultant - Pure Diagnostics LLC
ML Engineer
Consultant needed to design, develop, and validate machine‑learning classification algorithms for liquid‑biopsy transcriptomic diagnostics, handling dataset creation, binary/multi‑class modeling, and clinical cutoff determination.
About the role
Key Responsibilities
- Design and implement machine‑learning pipelines for blood‑based transcriptomic diagnostic classification.
- Create, curate, and manage training, testing, and independent validation datasets adhering to clinical standards.
- Develop binary and multi‑class predictive models, optimize performance, and define clinically relevant cutoffs.
- Perform rigorous verification, validation, and documentation of algorithms for regulatory submission.
- Collaborate with cross‑functional teams to integrate models into diagnostic workflows and support translational research.
Requirements
- 5+ years of experience in machine‑learning algorithm development for molecular diagnostics, genomics, or precision medicine.
- Proficiency in Python and ML libraries such as TensorFlow, scikit‑learn, or PyTorch.
- Strong background in statistical modeling, bioinformatics, and handling high‑dimensional transcriptomic data.
- Demonstrated ability to design validation studies, document results, and meet regulatory standards.
- Excellent problem‑solving and communication skills for interdisciplinary collaboration.
Skills
machine learningpythontensorflow