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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** VA Boston Healthcare System - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $120,548.0 - $156,715.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Health Informatics, Clinical Data Repository, Continuous Integration, Data Fusion, Data Integration, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Data Streaming, Cloud Platform System, Pytorch, Fast Healthcare Interoperability Resources, Deep Learning, Electronic Medical Records, Git, Information Technology, HuggingFace, Variational Autoencoders, Machine Learning Operations, Software Version Control - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=199cfc06819bbdb5 ## About the Role * MUST be a US Citizen and MUST clear a US government background check * Degree: Mathematics, statistics, computer science, data science, or a field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position., * Deep Learning Frameworks: Mastery of PyTorch or TensorFlow, along with experience using high-level libraries like PyTorch Lightning, Hugging Face, or PyG (PyTorch Geometric) * Clinical Informatics: Practical experience applying ML/DL to EHR data and processing clinical standards (OMOP, FHIR) * Software Engineering: Expert Python programmer with strong capabilities in Git, CI/CD, SQL, and other software engineering tools * Deep theoretical understanding of neural network optimization, regularization strategies, and deep generative design * Exceptional ability to bridge the gap between abstract computer science paradigms and practical, biological hypotheses * Strong commitment to ethical AI practices, data privacy (HIPAA and Human subjects research regulatory compliance), and mitigating algorithmic bias in healthcare datasets. ## Description * Design, implement, and fine-tune state-of-the-art deep learning architectures (e.g., Transformers, Graph Neural Networks, Variational Autoencoders) tailored for multi-omics data integration from clinical data modeling * Build scalable foundation models and generative AI systems capable of processing sparse, noisy, and high-dimensional clinical and healthcare data * Apply advanced ML frameworks for patient stratification, survival analysis, and disease progression modeling * Multimodal Data Fusion & Representation Learning * Develop novel representation learning and self-supervised learning methods to embed heterogeneous data streams (e.g., temporal electronic health records, continuous clinical monitoring, and structural biological data) * Engineer end-to-end deep learning pipelines that address unique biological data challenges, including missingness, extreme feature dimensions, and batch-effect corrections * Leverage Explainable AI (XAI) techniques (e.g., SHAP, Integrated Gradients) to ensure deep learning predictions provide biologically interpretable and clinically actionable insights * AI Engineering & Scalable Infrastructure * Build, scale, and maintain production-grade AI/ML pipelines utilizing distributed GPU computing frameworks and cloud environments * Implement best practices, including model versioning, automated retraining, validation tracking, and continuous monitoring of data drift * Leadership & Scientific Innovation * Serve as the subject matter expert on data science, artificial intelligence and deep learning, guiding cross-functional teams of clinicians, biologists, and bioinformaticians * Mentor junior data scientists and machine learning engineers on advanced mathematical modeling and neural network architectures * Represent the organization by drafting technical documentation, research white papers, and publishing findings in top-tier peer-reviewed journals. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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