Associate Data Science Analyst / Engineer - Predictive Analytics (HYBRID NYC)

NYU Langone Health

NYU Grossman School of Medicine, a top-ranked institution part of NYU Langone Health, is renowned for its commitment to medical education, research, and patient care. The institution is dedicated to diversity and inclusion, fostering an environment where talents of faculty, staff, and students flourish. The role exists within their Division of Applied AI, focusing on pioneering machine learning applications in healthcare.

In this role you can expect to have the responsibilities:

• Prepare and deliver detailed reports and presentations on model impacts and evaluations.
• Design and implement data solutions incorporating advanced machine learning and informatics.
• Tackle problems using extensive clinical datasets, ensuring data integrity for analytics.
• Develop workflows for data collection, storage, and processing.
• Collaborate with NYU healthcare teams to enhance predictive analytics initiatives.

This role requires you to have:

• Master's degree in a quantitative field such as Biomedical Informatics or Computer Science.
• Proficiency in programming languages like Python or R, and machine learning tools such as scikit-learn.
• Understanding of predictive modeling, machine learning, and big data technologies like Hadoop or Spark.
• Experience with relational and NoSQL databases and software engineering principles.
• Excellent communication skills for diverse audiences.

You would benefit from having:

• PhD in a relevant quantitative discipline.
• Experience with complex machine learning model design and implementation.
• Prior experience in software engineering and operational responsibilities.

NYU Langone Health leadership in fostering diversity and inclusion offers a supportive and affirming workplace. They provide equal opportunity employment and do not discriminate based on numerous personal and identifying factors.