Data Analyst

Position Summary

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) leadership team.

• Analyze clinical data using machine learning techniques to support research outcomes.
• Develop and maintain models using frameworks like PyTorch or Tensor Flow, ensuring they are suitable for handling large‑scale datasets.
• Apply natural language processing methods to interpret and analyze medical texts and patient data.
• Collaborate with research teams to design and implement models that address specific research questions.
• 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.
• Participate in research meetings and contribute to discussions on methodology and results interpretation.
• 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 projects.
• 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.
• Perform miscellaneous job duties as assigned.

• Outstanding Bachelor’s or Master’s degree in a related discipline such as computer science, mathematics, electrical engineering, or related fields.
• 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 Tensor Flow.
• Understanding of representation models, multi-modal models, and self-supervised learning.
• Open to candidates with foundational skills in machine learning and data analysis, even if not all advanced criteria are met.
• Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information.
• Strong attention to detail.
• Demonstrated organizational skills, self‑motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment.

• Excellent written and verbal communication skills.
• Excellent data visualization skills.
• Experience with observational studies using electronic health record (EHR) data.

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…