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About the Role

The Division of Data-Driven and Digital Medicine (D3M) is seeking a Machine Learning / AI Analyst to design, build, and evaluate solutions with an emphasis on Natural Language Processing (NLP) and multimodal AI. This role involves developing internal decision-making and productivity tools, and collaborating with clinicians and scientists to transform data into trustworthy models and user-friendly tools.

Responsibilities

• Lead NLP and multimodal ML efforts across text, tabular EHR, imaging, biosignals, and multi-omics to solve high-impact clinical and operational problems.
• Prototype and iterate internal decision-support and productivity tools.
• Build robust data pipelines and features, ensuring data integrity, lineage, and reproducibility.
• Train, fine-tune, and evaluate models including traditional ML, deep learning, and LLM-based approaches.
• Partner with clinical and operations leaders to frame problems, define success criteria, and run pilots.
• Operationalize models with MLOps best practices for safe, responsible use.
• Follow privacy, security, and compliance requirements and contribute to model risk management.
• Communicate findings to technical and non-technical audiences.

Requirements

• Bachelor's degree in Computer Science, Biomedical/Clinical Informatics, Data Science, Statistics, Engineering, or related field (Master's preferred).
• 2+ years of experience working with ML/NLP using Python and/or R.
• Strong SQL for data wrangling.
• Hands-on experience with modern ML/NLP (scikit-learn, PyTorch/TensorFlow; spaCy/Hugging Face).
• Experience with experiment tracking and reproducible workflows.
• Ability to translate clinical/operational problems into analytical solutions.
• Ability to communicate results to mixed audiences.
• Curiosity, product mindset, and commitment to responsible AI in healthcare.

Skills

• Natural Language Processing (NLP)
• Multimodal AI
• Machine Learning (ML)
• Python
• R
• SQL
• scikit-learn
• PyTorch
• TensorFlow
• spaCy
• Hugging Face
• Experiment tracking
• Reproducible workflows
• LLMs
• Retrieval-augmented generation (RAG)
• MLOps
• Docker
• Kubernetes

Location

• New York, NY

Work Type

• Hybrid

Experience Level

• Early to mid-career
• 2+ years

Education Level

• Bachelor's degree
• Master's degree preferred

Salary/Compensations

• $87692 - $131538 Annually

About the Company

• The Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with over 48,000 employees across eight hospitals and numerous outpatient practices, labs, a school of nursing, and a leading school of medicine. Mount Sinai is dedicated to advancing health by tackling complex healthcare challenges, discovering new scientific knowledge, developing effective treatments, educating future medical leaders, and supporting communities with high-quality care. The Health System integrates its hospitals, labs, and schools to offer comprehensive health care solutions, leveraging innovative approaches like artificial intelligence and informatics with a patient-centered focus. It is consistently ranked by U.S. News & World Report for its excellence in various specialties and research.

Equal Opportunity

• The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are committed to fostering an environment where all individuals feel respected and supported, actively working to remove barriers, address challenges, and promote fairness.