Data Scientist and Analyst

The Data Scientist and Analyst reports to the CCR Director and Executive Director. Under the direction of the Director and Executive Director, the analyst assists with supervision and training of all full time, part time and per diem analyst staff of the CCR. This will be a 1.0 FTE senior analyst with possible faculty appointment.

• →Manage large data sets hosted by Touro and NYMC and those which are externally available. Collect, clean, and analyze complex information.
• →Use machine learning to perform analysis and build predictive models that solve real-world problems. Design algorithms and machine learning models to support research projects, forecast trends and spot patterns.
• →Support and provide technical support in the role of AI in research.
• →Work with faculty, residents, fellows, and students of Touro and NYMC to provide consulting and technical support in planning, data assessment, data analysis, and interpretation of studies.
• →Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers.
• →Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies.
• →Assist in writing and reviewing study design, methodologies and statistical sections of research proposals, manuscripts, and grant applications.
• →Other duties as assigned.

• Masters in Data Science, Biostatistics or another data analysis or quantitative field.
• Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in statistical software packages including R, SAS, Python and STATA. Experience with survey software such as RedCAP. Ability to use SQL and tableau. Microsoft Office Suite – Word, Excel, PowerPoint, Outlook.
• Minimum of three years of related professional experience.
• Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously.
• Commitment to fostering a collaborative and inclusive learning environment. Capability to work in consultant role with customer service skills.
• Local travel to Manhattan campus and possible out of state of travel of less than 10%.