Senior Data Scientist

🕒 April 25

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Advarra

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1983

☁️ SaaS

🤖 Artificial Intelligence

Healthcare • SaaS • Artificial Intelligence

Advarra is a provider of integrated technology and services for clinical research, combining institutional review and compliance services with software platforms to support the full clinical trial lifecycle. The company offers ethics review services (IRB, IBC, DMC, endpoint adjudication), site enablement and research staffing, and a suite of cloud products — including eRegulatory, eConsent, eSource/EDC, CTMS and study design tools — plus an AI-powered operational intelligence engine (Braid) to streamline trial start-up, enrollment, and operations. Advarra serves sponsors, CROs, research sites, and institutions with a focus on patient protection, regulatory compliance, and accelerating trial outcomes.

📋 Description

• 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

🎯 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