Apply📍 United States
💸 145000.0 - 193000.0 USD per year
🔍 Population genomics and viral surveillance
- PhD in Computer Science, Machine Learning, Statistics, Bioinformatics, or a related field (or equivalent experience).
- 8+ years of experience in applied machine learning research and development.
- Strong foundation in statistics, experimental design, and causal inference.
- Proficiency in data analysis, feature engineering, and statistical modeling.
- Expert-level knowledge of modern frameworks (e.g., PyTorch, TensorFlow) with emphasis on Python.
- Strong programming skills in Python and familiarity with ML deployment practices.
- Experience with large-scale data processing and distributed computing.
- Excellent communication skills to convey complex concepts clearly.
- Drive the evaluation and adoption of emerging ML technologies in healthcare.
- Lead research initiatives in healthcare AI/ML for clinical and genomic data analysis.
- Contribute to our ML infrastructure and experimentation frameworks.
- Research and evaluate emerging AI/ML technologies applicable to life sciences and healthcare.
- Design and implement solutions that integrate multiple data modalities.
- Collaborate with cross-functional teams to integrate AI solutions into product pipelines.
- Act as a technical adviser across the organization and influence the team's technical direction.
- Author technical papers and present findings internally and externally.
AWSPythonCloud ComputingData AnalysisGCPMachine LearningPyTorchAzureTensorflow
Posted 12 days ago
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