Machine Learning & AI Analyst (Clinical Research) - Data Driven & Digital Medicine

Mount Sinai Medical Center; New York (NY); Hybrid; USD 88,000 - 132,000; Full time

Job summary

Mount Sinai Health System in New York, NY seeks an early- to mid-career Machine Learning / AI Analyst to design, build, and evaluate NLP and multimodal AI solutions across clinical notes, EHR data, imaging, and multi-omics. The role focuses on trustworthy models and practical tools for clinicians and operations teams.

You will collaborate with scientists and physicians, translate complex data into actionable insights, and advance MLOps, governance, and privacy compliance in healthcare.

Qualifications

• 2+ years (industry, health system, or academic) 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), experiment tracking, and reproducible workflows.
• Ability to translate clinical/operational problems into analytical solutions and to communicate results to mixed audiences.
• Curiosity, product mindset, and commitment to responsible AI in healthcare.

Responsibilities

• Lead NLP and multimodal ML efforts across text (clinical notes), tabular EHR, imaging, biosignals, and multi-omics to solve high-impact clinical and operational problems.
• Prototype and iterate internal decision-support and productivity tools (e.g., workflow triage, quality improvement insights, operational dashboards).
• Build robust data pipelines and features; ensure data integrity, lineage, and reproducibility.
• Train, fine-tune, and evaluate models (traditional ML, deep learning, and LLM-based approaches, including retrieval-augmented generation).
• Partner with clinical and operations leaders to frame problems, define success criteria, and run pilots that demonstrate measurable value.
• Operationalize models with MLOps best practices (versioning, CI/CD, monitoring, governance) and documentation for safe, responsible use.
• Follow privacy, security, and compliance requirements (e.g., HIPAA) and contribute to model risk management and bias/impact assessments.
• Communicate findings to technical and non-technical audiences through clear write-ups, visualizations, and presentations.

Skills

Python

SQL

NLP

Machine Learning

PyTorch

HuggingFace

Education

Bachelor's degree in CS/BI/Stats

Master's preferred

Tools

Docker

MLflow

Kubernetes

Job description

Description

The Division of Data-Driven and Digital Medicine (D3M) is recruiting an early- to mid-career Machine Learning / AI Analyst to design, build, and evaluate solutions with a primary emphasis on Natural Language Processing (NLP) and multimodal AI, including multi-omics. Beyond clinical research and translation, the role includes developing internal decision-making and productivity tools for the Department of Medicine. You will collaborate with clinicians, scientists, and operations partners to turn clinical narratives, structured data, imaging, waveforms, and multi-omics into trustworthy models and user-friendly tools.

About the Division

D3M's mission is to bring data-driven and digital innovation to research, education, and clinical care at Mount Sinai-accelerating the translation of AI and digital tools into practice while training the next generation of leaders. The Division collaborates broadly across the Health System to catalyze groundbreaking research and deploy real-world solutions.

Responsibilities

• Lead NLP and multimodal ML efforts across text (clinical notes), tabular EHR, imaging, biosignals, and multi-omics to solve high-impact clinical and operational problems.


• Prototype and iterate internal decision-support and productivity tools (e.g., workflow triage, quality improvement insights, operational dashboards).


• Build robust data pipelines and features; ensure data integrity, lineage, and reproducibility.


• Train, fine-tune, and evaluate models (traditional ML, deep learning, and LLM-based approaches, including retrieval-augmented generation).


• Partner with clinical and operations leaders to frame problems, define success criteria, and run pilots that demonstrate measurable value.


• Operationalize models with MLOps best practices (versioning, CI/CD, monitoring, governance) and documentation for safe, responsible use.


• Follow privacy, security, and compliance requirements (e.g., HIPAA) and contribute to model risk management and bias/impact assessments.


• Communicate findings to technical and non-technical audiences through clear write-ups, visualizations, and presentations.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Biomedical/Clinical Informatics, Data Science, Statistics, Engineering, or related field (Master's preferred).


• 2+ years (industry, health system, or academic) 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), experiment tracking, and reproducible workflows.


• Ability to translate clinical/operational problems into analytical solutions and to communicate results to mixed audiences.


• Curiosity, product mindset, and commitment to responsible AI in healthcare.

Preferred Qualifications (emphasis areas)

• Deep experience in NLP and LLMs (prompting, fine-tuning, evaluation) and RAG over clinical knowledge bases.


• Multimodal learning across text, tabular, imaging, biosignals, and multi-omics.


• Experience integrating or analyzing multi-omics modalities (e.g., genomics, transcriptomics, proteomics, metabolomics) and linking them to clinical outcomes.


• Experience working with EHR data and standards (e.g., OMOP).


• MLOps tooling (MLflow, Weights & Biases), containerization/orchestration (Docker, Kubernetes), and cloud platforms.


• Practical understanding of model governance, fairness, and human-in-the-loop evaluation in healthcare.


• Track record delivering prototypes or products used by clinicians/researchers; publications or open-source contributions a plus.

Work Arrangement

Position is based in New York, NY (Icahn School of Medicine at Mount Sinai). Hybrid flexibility may be available per departmental policy.

Employer Description

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children’s Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

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 deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $87692 - $131538 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.