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Position Summary:
We have an exciting opportunity to join our team as a Associate Data Science Analyst.
We are seeking a qualified Associate Data Science Analyst with an AI background, including advanced modeling including fine-tuning of LLMs, multimodal foundation model training, architecture design and training from scratch, to advance our stroke foundation modeling study. By teaming up with AI advisors and clinician and scientists, the individual will develop innovative and impactful models for prognosis of stroke.
The Associate Data Science Analyst will report to Drs. Razavian and Frontera, while working closely with other members of the center and NYU healthcare community at large. The position will be responsible for the following:
Job Responsibilities:
- Design and building multimodal (including 3D imaging, and EHR based) foundation models
- Preprocessing of large volumes (100s of TB) of dicom images, EHR data, clinical notes
- Training and monitoring training of large AI models
- Benchmarking results against other state of the art open-source models
- Reporting and communicating findings to the clinical and technical teams
- Working with large, complex and noisy clinical datasets for solving challenging problems in the healthcare domain
- Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, models, evaluation, and impact (ROI)
Minimum Qualifications:
To qualify you must have a 1. Masters in Data Science, Machine Learning, Computer Science or related area
2. One year data analysis/machine learning experience or equivalent combination of education and experience.
3. Familiarity with major machine learning models and data mining techniques.
4. Able to write code well in Python, R, or C++. Passion about being part of a team that solves big problems in health care.
Preferred Qualifications:
1. Familiarity with electronic health record databases.
2. Familiarity with data driven modeling (including gathering and cleaning data, exploratory analysis, implementing models, error analysis, and presenting the findings)
3. Deep interest in Health AI
4. Demonstrated skills in design and implementation of complex AI models.
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 $67,771.14 - $100,000.00 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.
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