Data Science Analyst/Engineer

NYU Langone Hospitals; New York (NY); On-site; USD 85,000 - 127,000; Full time

Benefits offered by this job

Benefits package

Holistic wellness program

Equality employer

Generous time-off

Employee resource groups

Job summary

NYU Langone Health in New York, NY seeks a Data Science Analyst/Engineer to build the data foundation for machine learning and decision-analytic research in healthcare. This role blends data engineering and analysis: work with EHR and registry data, develop scalable pipelines, train ML models, and explore multimodal data to improve patient care.

You will collaborate with physicians, statisticians, data scientists, and researchers to advance cross-cutting methodologies.

Qualifications

• Master's degree in a quantitative discipline (e.g., Biomedical Informatics, CS, ML, statistics, math) and 3 years of ML/DS experience, or a Bachelor's with 5 years' experience.
• Proficiency in Python or R and ML libraries (scikit-learn, etc.).
• Knowledge of predictive modeling, big data tools (Hadoop/Spark), and SQL/NoSQL databases.
• Strong software engineering basics and experience with modern software architectures.

Responsibilities

• Data engineering and curation: extract, clean, harmonise, and pipeline EHR and registry datasets.
• Machine learning and deep learning: develop, train, and evaluate models on curated data.
• Multimodal integration: combine diverse data types for prediction and analytics, with imaging/-omics opportunities.
• Methodological innovation: contribute to cutting-edge methodologies to improve patient care.
• Communication and collaboration: present results and work with clinicians, statisticians, and researchers.

Skills

Python

R

Machine learning

Deep learning

Hadoop

Spark

SQL/NoSQL

Software engineering

Communication skills

Education

Master's degree in quantitative field

Bachelor's degree + 5 years experience

PhD preferred

Tools

Docker

Kubernetes

Job description

Position Summary:

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer.

In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for the groups machine learning and decision-analytic research. This role has two intertwined halves: engineering and analysis. On the engineering side, the position involves working directly with patient electronic health record (EHR) data and other patient registry datasets, including data extraction, curation, cleaning, harmonisation, and pipeline development. On the analytic side, the curated data feed advanced machine learning and deep learning models, which are integrated into multimodal frameworks for prediction and decision analytics.

There are also strong opportunities to help incorporate imaging and transcriptomic (and other -omic) datasets into cross-cutting, cutting-edge methodologies, and to take initiative on new approaches that improve patient care.

Job Responsibilities:

• Data engineering and curation: extract, curate, clean, harmonise, and manage large EHR and other patient registry datasets, and build reliable, reproducible data pipelines.

• Machine learning and deep learning: develop, train, and evaluate advanced machine learning and deep learning models on curated patient data.

• Multimodal integration: integrate diverse data types into multimodal models for prediction and decision analytics, with opportunities to incorporate imaging and transcriptomic datasets.

• Methodological innovation: contribute to and help drive cross-cutting, cutting-edge methodologies and initiatives aimed at improving patient care.

• Communication and collaboration: write clearly, present results effectively, and work closely with a multidisciplinary team of physicians, statisticians, data scientists, and researchers.

Minimum Qualifications:

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of experience in machine learning/ data science, or a Bachelor's degree with 5 years of relevant experience. Proficiency in at least one programming language (Python or R) and experience using machine learning libraries and tools (e.g., scikit-learn or equivalent R packages). Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets. Familiarity with computing models for big data Hadoop / MapReduce, Spark etc. Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.) Good grasp of software engineering principles. Experience in integrating modern software architectures. Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology. Knowledge of clinical and operational aspects of healthcare delivery. Excellent written and oral communication skills for a variety of audiences.

Preferred Qualifications:

PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) + 2 years experience. Two years of hands‑on experience managing and analyzing large electronic health record (EHR) and other patient registry datasets. Demonstrated skills in design and implementation of complex machine learning models. Demonstrated knowledge of software engineering and operational skills through prior projects. Demonstrated ability to work effectively with large, complex healthcare datasets in support of clinical, operational, or research initiatives. Experience applying machine learning methods to real‑world healthcare data and translating findings into actionable insights. Experience collaborating with multidisciplinary teams, including clinicians, researchers, and operational leaders. Experience with deep learning methods or frameworks is preferred.

Qualified candidates must be able to effectively communicate with all levels of the organization.

Benefits and Wellness Package

• NYU Grossman School of Medicine provides its staff with far more than just a place to work.
• Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
• At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package.
• Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement.
• The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time‑off program and employee resources groups for peer support.
• Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well‑being: physical, mental, nutritional, sleep, social, financial, and preventive care.
• The benefits and wellness package is designed to allow you to focus on what truly matters.
• Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment.

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NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 - $126,991.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.