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

NYU Langone Health • New York, NY

10h • Onsite

About The Position

The Data Analyst designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (CSTAR) leadership team. This role involves analyzing clinical data using machine learning techniques, developing and maintaining models with frameworks like PyTorch or TensorFlow, and applying natural language processing to medical texts. The successful candidate will collaborate with research teams, continuously refine models, and contribute to research papers, presentations, and grant proposals.

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.

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

• Comprehensive benefits and wellness package.
• Robust support system for any stage of life.
• Financial security benefits.
• Generous time-off program.
• Employee resources groups for peer support.
• Holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care.
• Extensive resources and services designed to enhance your overall quality of life for you and your family.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees