Data Analyst - Project / Remote Job at NYU Langone Health in New York

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. We have an exciting opportunity to join our team as a Data Analyst. In this role, the successful candidate designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (CSTAR) Analyze clinical data using machine learning techniques to support research outcomes. Apply natural language processing methods to interpret and analyze medical texts and patient data. Continuously update and refine models based on new research findings and emerging data. Assist in preparing research papers and presentations by providing data-driven insights and analysis. Ensure compliance with data privacy and protection guidelines when handling sensitive medical data. Contribute original thoughts, hypotheses, and analysis to write reports, abstracts, and manuscripts under faculty supervision Support grant proposal submissions and support funder reports for NIH funded Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committees Prepare interim reports to summarize ongoing cohort studies for principal investigators, study staff, and data safety and monitoring boards Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants To qualify you must have a Bachelor's or Master's degree in a related discipline (computer science, mathematics, electrical engineering, or related discipline) Practical experience in natural language processing (NLP) and analyzing clinical data. Strong computational and programming skills Familiarity with advanced machine learning and deep learning applied to large datasets. Competence in using machine learning frameworks such as PyTorch or TensorFlow. Open to candidates with foundational skills in machine learning and data analysis, even if not all advanced criteria are met Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment Excellent data visualization skills Experience with observational studies using EHR data. NYU Grossman School of Medicine provides its staff with far more than just a place to work. 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. 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. We require applications to be completed online. 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.