Data Scientist & Engineer

Job ID: 1162122_RR00119547

Facility: NYU Grossman School of Medicine

Position Type: Full-Time/Regular

Shift: Day

Schedule: 9am-5pm

Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine,

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 (Opens in a new window), 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 (Opens in a new window), and interact with us on LinkedIn (Opens in a new window), Glassdoor (Opens in a new window), Indeed (Opens in a new window), Facebook (Opens in a new window), Twitter (Opens in a new window) and Instagram (Opens in a new window).

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.

View Know Your Rights: Workplace discrimination is illegal (Opens in a new window).

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.

To view the Pay Transparency Notice, please click here (Opens in a new window)

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

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.

View Know Your Rights: Workplace discrimination is illegal (Opens in a new window).

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.

To view the Pay Transparency Notice, please click here (Opens in a new window)

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

About NYU Langone Health

Be Where Everyone Is Dedicated to Exceptional Care

NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.

Our Hiring Process

Joining Our Team

Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.

Step 1

Apply Online

The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.

Step 2

Schedule Interviews

If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.

Step 3

Receive Offer

If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.

Step 4

Training & Orientation

You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.