Senior Data Scientist

🕒 Abril 25

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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 including RAG based applications • Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions • Optimize and fine-tune LLMs and domain-specific variants using proprietary datasets to achieve precision and recall targets • Evaluate model performance across key metrics and benchmarks, identifying strengths, weaknesses, and opportunities for improvement • Implement and operationalize LLM-based and RAG systems that enhance Braid-powered products • 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 • Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks and optimization strategies • Conduct model interpretability and bias analyses to ensure fairness, transparency, and compliance with governance standards • Document methodologies and validation results to support internal governance, reproducibility, and audit readiness • Contribute to reusable fine-tuning workflows, evaluation frameworks, and model monitoring pipelines • Stay at the forefront of advancements in LLM optimization, retrieval augmentation, and multi-modal learning

🎯 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