Senior Data Scientist I
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Job Description
AI Data Scientist focusing on optimizing and operationalizing machine learning models for Advarra’s Braid platform. Collaborating with teams to enhance clinical and operational data leveraging advanced AI techniques.
Responsibilities:
- Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs
- Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions
- Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets
- Evaluate model performance across key metrics and benchmarks
- Implement and operationalize LLM-based and retrieval-augmented (RAG) systems
- Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines
- Assess and select models that best align with domain-specific requirements and Advarra’s regulated research environment
- Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks
- Conduct model interpretability and bias analyses
- Document methodologies and validation results
Requirements:
- MS in Machine Learning, Computer Science, or related quantitative discipline, or equivalent relevant work experience
- 5+ years of hands-on experience developing and fine-tuning ML or LLM models
- Demonstrated expertise in Python, with experience and knowledge of a commercial framework like PyTorch
- Hands-on experience developing, managing, and troubleshooting workflows within Databricks for data engineering, analytics, and machine learning projects
- Documented strong understanding of the ML lifecycle
- Experience with embeddings and retrieval-augmented generation (RAG)
Benefits:
- Health coverage
- Paid holidays
- Variable bonus
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