AI Health Informatics Engineer: Data Pipelines & ML

Montefiore Health System; New York (NY); On-site; USD 124,000 - 155,000; Full time

Job summary

Montefiore Health System’s IT - Data & Analytics Health Research Informatics unit seeks an AI Computational Engineer to advance health research informatics by building dependable data and AI capabilities that move investigators from questions to governed data access, cohort discovery, and reproducible results.

The role blends hands-on computer science with implementing reusable services, adapting to data types or 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

Responsibilities

• 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. Prepare technical evidence for review and elevate higher risk use cases through established channels.
• Support investigators through consultations, demonstrations, training materials, and reusable examples; contribute technical content to publications, grants, and multi-site research collaborations.
• Track service measures such as request turnaround, cohort or feasibility output quality, reuse of methods, model performance, and investigator feedback; report progress and operational issues to the CRIO.

Skills

Python

PyTorch

TensorFlow

Data pipelines

Git

Cross-functional

Model evaluation

Education

Bachelor’s degree in CS

Master’s degree preferred

Tools

SQL

Containers

APIs

GPU/ HPC

Job description

Montefiore Health System’s IT - Data & Analytics Health Research Informatics unit seeks an AI Computational Engineer to advance health research informatics by building dependable data and AI capabilities that move investigators from questions to governed data access, cohort discovery, and reproducible results.

The role blends hands-on computer science with implementing reusable services, adapting to data types or methods while ensuring rigorous evaluation, documentation, and investigator support.