Senior Data Scientist I

🕒 Abril 23

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Advarra

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1983

☁️ SaaS

💊 Farmacêutico

SaaS • Pharmaceuticals

Advarra é um fornecedor de supervisão regulatória integrada e tecnologia para ensaios clínicos, combinando serviços independentes de revisão de IRB e compliance com plataformas empresariais SaaS (incluindo Braid, OnCore, Clinical Conductor, eReg e eSource). A empresa oferece inteligência operacional, design de protocolo impulsionado por IA e automação, colaboração em sites, ferramentas para início e recrutamento de estudos e serviços de habilitação estratégica para patrocinadores, CROs, sites de pesquisa e instituições para melhorar a eficiência, compliance e segurança do paciente ao longo do ciclo de vida do ensaio clínico.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• Health coverage • Paid holidays • Variable bonus