Data Analyst II - Windreich Department of AI & Human Health Research

Mount Sinai Health System is hiring a Data Analyst II to support data science and machine learning research focused on clinical data, including electronic health records. The role oversees data integrity and management, develops analytic reports, supports clinical and administrative teams, and contributes to research manuscripts and collaborations.

Responsibilities

Work with the clinical and administrative staff of the practice to define data reporting needs

Develop analytic reports that are easily understandable by clinical and administrative staff

Use modeling techniques and tools in analyzing and specifying data structure

Implement best practices in data management to ensure the integrity of the data, the quality of data processes and deliver analyzable or analyzed data to a variety of internal and external clients of the affiliated practice

Maintain data integrity and completes data analysis as necessary

Complete data capture, data extraction and analysis

Develop, maintain or implement procedures for data entry, data cleaning, documentation and other administrative tasks

Document, implement, maintain or recommend operating methods to improve processing, distribution, data flow, collection, database editing procedures

May define parameters for file or space utilization

Work closely with IT management and staff

Access data in the Data Warehouse, as required

Assist clinical and administrative staff with queries, statistical analyses, reports and technical difficulties related to data retrieval

Design and write custom applications needed to ensure the database meets requirements for the entry, management and reporting of data

Identify and recommend solutions to data management issues

Maintain knowledge of the current regulations and technologies related to data management

Write and prepare manuscripts and other materials for internal and external audiences

Perform other related duties

Help to build and perpetuate a practice environment and culture of collaboration, respect, learning, flexibility and fun among all team members

Preferred

Masters degree in relevant field of study preferred (e.g., biomedical informatics, clinical informatics, statistics, epidemiology, computer science, etc.)

preferably in a large medical center or healthcare environment

Significant experience in large language models (LLMs), natural language processing (NLP), and machine learning is preferred, ideally demonstrated through published research and/or publicly available code

Expertise in developing, fine-tuning, evaluating, and deploying LLMs is preferred, including experience with modern deep learning frameworks and LLM tooling (e.g., PyTorch, Hugging Face Transformers, TensorFlow) and techniques such as prompt engineering, retrieval-augmented generation (RAG), and model evaluation

Expertise with programming and statistical software experience in R and/or Python

Formal computer science, statistics, or epidemiological training is a strong advantage

Familiarity with the publication process

Master’s degree in relevant field

Biomedical informatics

Clinical informatics

Statistics

Epidemiology

Computer science

Medical center experience

Healthcare experience

Large language models

Natural language processing

Machine learning

Published research

Publicly available code

LLM development

LLM fine-tuning

LLM evaluation

LLM deployment

Deep learning frameworks

PyTorch

Hugging Face Transformers

TensorFlow

LLM tooling

Prompt engineering

Retrieval-augmented generation

Model evaluation

Programming

R

Python

Formal computer science training

Formal statistics training

Formal epidemiology training

Publication process familiarity

Company

Integrated health system providing care, research, and medical education

New York, New York, USA

https://www.mountsinai.org/

Founded in 2013

10001+ employees

Qualifications

Bachelors degree in computer science, statistics and/or related field required, or combination of equivalent work experience and education

3+ years of analytics experience including report development and database application/management experience

Masters degree in relevant field of study preferred (e.g., biomedical informatics, clinical informatics, statistics, epidemiology, computer science, etc.)

Preferably in a large medical center or healthcare environment

Significant experience in large language models (LLMs), natural language processing (NLP), and machine learning is preferred, ideally demonstrated through published research and/or publicly available code

Expertise in developing, fine-tuning, evaluating, and deploying LLMs is preferred, including experience with modern deep learning frameworks and LLM tooling (e.g., PyTorch, Hugging Face Transformers, TensorFlow) and techniques such as prompt engineering, retrieval-augmented generation (RAG), and model evaluation

Expertise with programming and statistical software experience in R and/or Python

Formal computer science, statistics, or epidemiological training is a strong advantage

Familiarity with the publication process

Required skills

Represents the skills you have, click on the tags, Report Development, Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, PyTorch, Hugging Face Transformers, TensorFlow, Prompt Engineering, Retrieval-Augmented Generation (RAG), Model Evaluation, Python

Preferred skills

Familiarity with the publication process, Glassdoor, 3.5, New York, New York, USA, https://www.mountsinai.org, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 15, Represents job field similar to this job, Engineering and Development, Customer Service and Support, Management and Executive, Human Resources, Education and Training, Trends of Total Sponsorships, *2026, (5), 2025, 2024, (3), 2023, (26), 2022, (20), 2021, (6), 2020, Late Stage, Total Funding

Experience

3+ years