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 Associate Data Science Analyst.
We are looking for a highly motivated and passionate Associate Data Science Analyst to join our team who has expertise in machine learning infrastructure and systems. As an Associate Data Science Analyst engineer, you will be a part of the interdisciplinary group of research scientists, clinicians, and engineers and responsible for mentoring and leading a team of junior engineers to achieve the goals of the AI Core. In close collaboration with your colleagues and research scientists at NYU Langone, you will help develop, validate, and deploy machine learning models. You will be responsible for building and maintaining the necessary infrastructure and software pipelines to facilitate this work. You will act as a project leader on specific research projects in AI. As a project leader, you will be responsible for creating the project plans, meeting project timelines, troubleshooting, and resolving technical problems. Leveraging your machine learning expertise, you will also provide technical machine learning advice to faculty and lab staff. Lastly, you will operate under standard procedures and protocols in regulatory and compliance.
Job Responsibilities:
? Work alongside researchers and clinicians to develop highly scalable algorithms for biomedical research based on state-of-the-art machine learning techniques
? Be responsible for the entire pipeline associated with developing such models, including extraction and curation of the datasets, implementing and training the machine learning models, and testing/validating the models to ensure clinical relevancy
? Be involved in the model analysis to understand its deficiencies and thereby to propose refinements to improve the end outcome
? Act as a project leader be responsible for creating project plans, meeting deadlines, and resolving technical problems
? Provide technical guidance to faculty and lab staff on projects at the intersection of machine learning and biomedical research
? Create and maintain the necessary infrastructure and software pipelines
? Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters
- Represent the organization and research team at relevant meetings and events.
- Perform other duties as assigned
Minimum Qualifications:
To qualify you must have a Typically requires 4 or more years of experience and BA/BS degree or equivalent.
Preferred Qualifications:
? Experience in Deep Learning, Natural Language Processing, Computer Vision, Machine Learning, Reinforcement Learning, Control Theory, Data Mining, or Machine Intelligence (Artificial Intelligence)
? Experience with one or more general purpose programming languages including but not limited to: C/C++, Python, Javascript
? Experience in building machine learning models for real-world problems involving large scale datasets
? PhD degree in Computer Science or related technical field
? Strong computer systems experience.
? Large data analysis and visualization experience.
? Experience with high performance computing and distributed systems.
? Experience with building and deploying systems in real world environments for data collection, aggregation, and preparation.
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.
View Know Your Rights: Workplace discrimination is illegal.
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 $67,771.14 - $70,000.00 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
