Data Science Analyst/Engineer – Dept of Neurosurgery Job For Americans

Position Summary:

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

In this role, the successful candidate is reporting to the Department of Neurosurgery Principal Investigator(s), Administrator, and Research Manager.

This individual will function as a data and machine learning engineer as part of our research group with the NYU Langone Department of Neurosurgery.

The primary responsibility for this position will be to provide backend support for a project seeking to revolutionize the study and treatment of metastatic cancer using artificial intelligence.

S/he will work and collaborate closely with the translational research scientists, graduate students, and physicians within our research group.

Other primary responsibilities will include the maintenance and augmentation of the project after its initial release. This will include database management, API development, and integration of the projects data and interfaces with current open source Machine Learning frameworks (PyTorch, Tensorflow, etc.).

The individual will have the flexibility to accommodate independent computer vision and deep learning research, collaboration on ongoing research projects within the group, and participate in opportunities for scientific publishing at machine learning conferences and in biomedical journals.

Job Responsibilities:

• Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, models, evaluation, and impact (ROI)
• Performs other duties as assigned.
• Lead specific dataoriented projects of high importance, including development, deployment, and evaluation
• Design and build data solutions using stateoftheart machine learning and informatics methods; deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC
• Work with large, complex and noisy clinical datasets for solving challenging problems in the healthcare domain
• Build and engineer workflows to collect, store, clean and process structured as well as unstructured data, verify their integrity and appropriateness for specific business processes and analytics systems
• Manage associate data scientists, engineers, and clinically trained professionals for testing novel approaches, implementation, maintenance, and improvement of predictive models.
• Collaborate with the overall NYULMC healthcare community and contribute to ongoing predictive modeling / analytics efforts

Minimum Qualifications:

To qualify you must have a Master’s 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 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. Demonstrated skills in design and implementation of complex machine learning models. Demonstrated experience in Deep Learning, Natural Language Processing, Computer Vision, Machine Learning, Reinforcement Learning, Control Theory, Data Mining is a plus. Experience with medical data standards (DICOM, HLA7, FHIR, etc.).Large data analysis and visualization experience preferred. Experience with parallel and distributed computing in a HPC environment.

Prior experience working with production systems in a healthcare, academic, or retail environment.

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.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.

If you wish to view NYU Grossman School of Medicine’s EEO policies, please . Please to view the Federal “EEO is the law” poster or visit for more information.

NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $76,721.84 – $93,600.00 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

Required Skills

Required Experience