NYU Grossman School of Medicine is looking to hire a Data Analyst to design and perform statistical analyses using machine learning techniques to support research outcomes, interpret medical texts, and contribute to scientific publications and grant proposals.
Requirements
- 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
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.
- Contribute original thoughts, hypotheses, and analysis to write reports, abstracts, and manuscripts under faculty supervision
Other
- Bachelor's or Master's degree in a related discipline (computer science, mathematics, electrical engineering, or related discipline)
- 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
- Experience with observational studies using EHR data.
