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Advarra

Senior Data Scientist I

Advarra

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.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $91,524 - $167,794 per yearWebsite

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Health coverage
  • Paid holidays
  • Variable bonus

ATS Keywords

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Hard Skills & Tools
machine learninglarge language modelsmodel fine-tuningmodel evaluationmodel interpretabilitybias analysisPythonPyTorchembeddingsretrieval-augmented generation
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingdocumentation
Certifications
MS in Machine LearningMS in Computer Science