AI Data Engineer for Health Research Informatics

2000 Montefiore Health System, Inc.; City of Yonkers (NY); Sur place; USD 124 000 - 155 000; Plein temps

Résumé du poste

Montefiore Einstein IT - Data & Analytics seeks an AI Computational Engineer to advance Health Research Informatics, building dependable data and AI capabilities for governed data access, cohort discovery, study feasibility, analysis, and reproducible results.

The role blends hands-on computer science research with reusable service development, focusing on data types and methods while ensuring rigorous evaluation, documentation, and investigator support.

Qualifications

• Bachelor’s degree in computer science, computer engineering, data science, or a closely related quantitative field, plus substantive experience building machine learning or data intensive software.
• Strong Python programming skills and practical experience with a modern machine learning framework such as PyTorch or TensorFlow.
• Demonstrated ability to prepare complex datasets, run controlled experiments, assess model performance, and communicate limitations clearly.
• Experience using Git and working collaboratively on documented, maintainable software or research pipelines.
• Ability to translate needs across technical and nontechnical colleagues, prioritize practical work, and learn biomedical and research operations concepts.

Responsabilités

• Develop and maintain research data pipelines that integrate clinical records, text, imaging, and other approved data sources.
• Document data definitions, quality checks, metadata, lineage, and transformations to support FAIR aligned reuse.
• Help implement standardized, governed data access workflows and reusable tools for cohort discovery, phenotyping, trial feasibility, recruitment planning, and research analytics.
• Translate investigator needs into scoped requirements and track delivery.
• Develop, benchmark, and validate AI methods, including information extraction, multimodal models, large or vision language models, and interpretable or knowledge informed approaches when suitable for the use case.
• Turn validated methods into maintainable research services and interfaces, with version control, automated tests, monitoring, user documentation, and clear handoff to authorized operational partners.
• Set evaluation plans with investigators and clinical experts, including baselines, validation splits, human review, error analysis, reproducibility checks, and assessment of subgroup performance and potential bias.
• Work with ICTR, the Data Science Institute, and Montefiore data, IT, security, privacy, and oversight partners to implement approved access and governance requirements.

Connaissances

Python

ML frameworks

Experimentation

Git

Communication of limitations

Formation

Bachelor’s degree in CS/related field

Master’s degree preferred

Outils

GPU/ HPC

Containers

SQL

APIs

Description du poste

Montefiore Einstein IT - Data & Analytics seeks an AI Computational Engineer to advance Health Research Informatics, building dependable data and AI capabilities for governed data access, cohort discovery, study feasibility, analysis, and reproducible results.

The role blends hands-on computer science research with reusable service development, focusing on data types and methods while ensuring rigorous evaluation, documentation, and investigator support.