Senior Data Scientist

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Advarra

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1983

☁️ SaaS

🤖 Inteligência Artificial

Healthcare • SaaS • Artificial Intelligence

A Advarra é fornecedora de tecnologia integrada e serviços para pesquisa clínica, combinando revisão institucional e serviços de conformidade com plataformas de software para suportar todo o ciclo de vida do ensaio clínico. A empresa oferece serviços de revisão ética (IRB, IBC, DMC, adjudicação de endpoint), capacitação de sites e contratação de equipes de pesquisa, além de um conjunto de produtos em nuvem - incluindo eRegulatory, eConsent, eSource/EDC, CTMS e ferramentas de design de estudo - além de um motor de inteligência operacional alimentado por IA (Braid) para agilizar o início, o recrutamento e as operações dos ensaios. A Advarra atende patrocinadores, CROs, sites de pesquisa e instituições com foco na proteção dos pacientes, conformidade regulatória e aceleração dos resultados dos ensaios.

Descrição

• Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs—including retrieval-augmented generation (RAG) based applications. • Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions that accelerate Advarra’s vision of a digitally connected research data and technology fabric. • Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets to achieve precision and recall targets that drive differentiated customer value. • Evaluate model performance across key metrics and benchmarks, identifying strengths, weaknesses, and opportunities for improvement across predictive, generative, and retrieval-augmented tasks. • Implement and operationalize LLM-based and retrieval-augmented (RAG) systems that enhance Braid-powered products such as Study Design and Site Feasibility. • Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines using Databricks, MLflow, and Delta Lake. • Assess and select models—open-source or proprietary—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 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 within the Braid AI stack. • Stay at the forefront of advancements in LLM optimization, retrieval augmentation, and multi-modal learning, applying new methods that improve scalability, explainability, and cost efficiency

🎯 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