Data Scientist & Engineer

NYU Langone Health; New York (NY); Presencial; USD 85 000 - 110 000; Tempo integral

Resumo da oferta

NYU Langone Health is seeking a Data Science Analyst/Engineer to join the Division of Applied AI Technologies. You will design data solutions and work with clinicians, operations, and analysts to develop data-driven healthcare tools.

Collaborate on predictive models, lead data-oriented projects, and mentor team members while ensuring production readiness and measurable ROI within the NYULMC ecosystem.

Qualificações

• Masters degree in a quantitative field with 3 years of ML/DS experience.
• Proficiency in Python or R and ML tools (scikit-learn, R).
• Experience with big data tools (Hadoop/Spark) and databases (SQL, NoSQL).
• Strong software engineering principles and CI/CD/automation familiarity.

Responsabilidades

• Design and build data solutions using ML and informatics methods.
• Work with large clinical datasets to tackle healthcare problems.
• Build data workflows to collect, clean, and process data and ensure integrity.
• Deploy and integrate models within NYULMC's healthcare infrastructure.

Conhecimentos

Python

R

Scikit-learn

Communication

Big data

Formação académica

Masters degree in a quantitative discipline

PhD degree in a quantitative field

Ferramentas

Hadoop

Spark

MongoDB

SQL

Docker

Descrição da oferta de emprego

1162122_RR00119547 Job ID: 1162122_RR00119547

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.

For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary

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

We are seeking a qualified Data Scientist Analyst to work within the Division of Applied AI Technologies at NYU Langone Health. The individual will be positioned to contribute to analytics efforts at NYU. By teaming up with clinicians, operations, and administrative teams, the individual will develop innovative and impactful data-driven healthcare solutions.

Job Responsibilities

• Design and build data solutions using state-of-the-art machine learning and informatics methods.
• Work with large, complex, and noisy clinical datasets to solve challenging problems in the healthcare domain.
• Build and engineer workflows to collect, store, clean, and process structured and unstructured data, and verify their integrity and appropriateness for specific business processes and analytics systems.
• Deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC.
• Prepare and present oral and written results and reports to a variety of audiences regarding processes, models, evaluation, and impact (ROI).
• Lead high-priority data-oriented projects, including development, deployment, and evaluation.
• Collaborate with associate data scientists, engineers, and clinically trained professionals to test novel approaches and support the implementation, maintenance, and improvement of predictive models.
• Collaborate with the broader NYULMC healthcare community and contribute to ongoing predictive modeling and analytics efforts.
• Establish key metrics, run experiments, and perform analyses to understand the incremental impact of efforts to drive adoption and engagement.
• Contribute to data science best practices and mentor team members to elevate the technical capabilities and impact of the group.
• Quantify the impact of model improvements and communicate trade-offs to stakeholders.
• Build evaluation frameworks, validate model behavior prospectively and silently, and oversee ongoing maintenance.
• Design systems, infrastructure, abstractions, and processes that accelerate development time for future projects.
• Manage and plan go-live activities and define the necessary steps to ensure timely delivery.
• Balance perfection with production readiness, iterate quickly, and recognize when a minimum viable product outperforms a six-month research project.
• Contribute ideas and innovations to solve internal and stakeholder problems.

Minimum Qualifications

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years of experience in machine learning/ data science. Proficiency in at least one programming language (Python, R) and machine learning tools (scikitlearn, R). 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 soware engineering principles. Experience in integrating modern software architectures. Knowledge and some experience in operational aspects of soware 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 Stascs, Mathematics or similar field) + 2 years experience. Demonstrated skills in design and implementation of complex machine learning models. Demonstrated knowledge of soware engineering and operational skills through prior projects.

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

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. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.

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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 $84,577.92 - $110,250.00 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.