Data Analyst, Center of Surgical and Transplant Applied Research (CSTAR)

NYU Langone Health • New York, NY

13d • $64,350 - $85,000 • Onsite

About The Position

NYU Grossman School of Medicine is a top-ranked medical school with a long history of shaping medical history. As an integral part of NYU Langone Health, the school is committed to improving the human condition through education, research, and patient care. Equity and inclusion are fundamental values, fostering an environment where diverse talent can thrive. This role is an exciting opportunity to join the Center of Surgical and Transplant Applied Research (CSTAR) team as a Data Analyst, responsible for designing and performing statistical analyses under leadership supervision.

Requirements

• 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.
• 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.
• Qualified candidates must be able to effectively communicate with all levels of the organization.

Nice To Haves

• Excellent written and verbal communication skills
• Excellent data visualization skills
• Experience with observational studies using EHR data.

Responsibilities

• Analyze clinical data using machine learning techniques to support research outcomes.
• Develop and maintain models using frameworks like PyTorch or TensorFlow, 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.
• 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.
• Performs miscellaneous job duties as assigned.

Benefits

• Financial security benefits
• Generous time-off program
• Employee resource groups for peer support
• Holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level