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About the Role

This role involves designing and performing statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (CSTAR) leadership team to support research outcomes.

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.
• Design analytical strategies for research proposals and draft statistical analysis plans for grants under faculty supervision.
• Performs miscellaneous job duties as assigned.

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.

Skills

• Natural Language Processing (NLP)
• Machine Learning
• Deep Learning
• PyTorch
• TensorFlow
• Representation Models
• Multi-modal Models
• Self-supervised Learning
• Data Analysis
• Quantitative Aptitude
• Attention to Detail
• Organizational Skills
• Communication Skills
• Data Visualization

Location

• New York

Work Type

• Full-time

Experience Level

• Entry-level to Mid-level

Education Level

• Bachelor's Degree
• Master's Degree

Salary/Compensations

• $64,350.00 - $85,000.00 Annually

Benefits

• Comprehensive benefits and wellness package.
• Robust support system for any stage of life.
• 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.

About the Company

• NYU Grossman School of Medicine is one of the nation's top-ranked medical schools with a 175-year history of training physicians and scientists.
• It is an integral part of NYU Langone Health, committed to improving the human condition through medical education, scientific research, and direct patient care.
• NYU Langone Health values equity and inclusion, striving to be a place where talented faculty, staff, and students of all identities can thrive.

Equal Opportunity

• 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.
• View Know Your Rights: Workplace discrimination is illegal.