
Data Scientist for Genomics Machine Learning
1 week ago
We are seeking a skilled machine learning engineer to develop and deploy AI models for genomics data analysis.
- Develop and deploy AI models for genomics applications using Python and relevant libraries.
- Design and implement data processing pipelines for large-scale genomics datasets.
- Collaborate with cross-functional teams to integrate AI solutions into customer-facing applications.
- 3+ years of experience in developing and deploying machine learning models.
- Proficient in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with data preprocessing and feature engineering techniques.
- Experience with basic ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Familiarity with version control systems like Git.
- Opportunity to work on complex, data-intensive challenges in the omics science domains.
- Hands-on experience with modern AI technology and collaboration with multi-functional teams.
- Master's or Ph.D. in a relevant field.
- 5+ years of experience in developing and deploying machine learning models for genomics data analysis.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Expert in Python. Experience with C++/ Java is a plus.
- Experience with MLOps practices and tools.
- Knowledge of LLMs, LangChain, LlamaIndex, and RAG frameworks.
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