AI Computational Engineer (Healthcare AI)

Location: 3 Odell Plaza, Yonkers, New York, United States; onsite, Monday-Friday, 8:30 AM-5 PM

Salary: $124,000-$155,000 per year

Company

hirify.global supports health research informatics and the development of governed data and AI capabilities for investigators.

What you will do

• Develop and maintain research data pipelines integrating clinical records, text, imaging, and other approved data sources, including data definitions, quality checks, metadata, lineage, and transformations.
• Implement governed data access workflows and reusable tools for cohort discovery, phenotyping, trial feasibility, recruitment planning, and research analytics.
• Develop, benchmark, and validate AI methods including information extraction, multimodal models, large language models, vision language models, and interpretable or knowledge-informed approaches.
• Turn validated methods into maintainable research services and interfaces with version control, automated tests, monitoring, documentation, and operational handoff.
• Define evaluation plans with investigators and clinical experts, including baselines, validation splits, human review, error analysis, reproducibility checks, subgroup performance, and bias assessment.
• Support governance and approved access requirements, investigator consultations, demonstrations, training materials, publications, grants, collaborations, and service-quality reporting.

Requirements

• 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; a master’s degree may provide that experience.
• Strong Python programming skills and practical experience with a modern machine learning framework such as PyTorch or TensorFlow.
• Experience preparing complex datasets, running controlled experiments, assessing model performance, and communicating 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.

Nice to have

• Master’s degree or equivalent research or industry experience in AI, computer science, biomedical informatics, or a related field.
• Experience with medical imaging, clinical NLP or information extraction, large language or vision language models, multimodal learning, or clinical and other sensitive research data.
• Experience with GPU or high-performance computing, reproducible model training and inference, containers, SQL, APIs, or research data platforms.
• Familiarity with clinical research workflows, FAIR data practices, common data models, biomedical ontologies, data provenance, human review, or responsible AI assessment.
• Evidence of research communication and user-focused delivery through publications, presentations, open-source work, training, or documented deployed projects.

Culture & Benefits

• Full-time daytime schedule with 7.5 scheduled hours per day.
• Collaboration with ICTR, the Data Science Institute, clinical experts, data, IT, security, privacy, and oversight partners.
• Work focused on governed access, responsible AI assessment, reproducibility, and support for biomedical investigators.