NAMs Data Harmonization Analyst

NYU Grossman School of Medicine; New York (NY); On-site; USD 84,577 - 126,991; Full time

Benefits offered by this job

Comprehensive benefits package

Holistic wellness programs

Generous time-off policy

Job summary

NYU Grossman School of Medicine is looking for a Data Science Analyst/Engineer in New York City. This role supports NAMs data for researchers by developing standards for data sharing and analysis. The candidate should have a master's degree in a quantitative discipline and at least three years of data science experience. The position emphasizes the design of data quality assurance and ETL frameworks and requires proficiency in programming languages like Python and R. Comprehensive benefits are provided, enhancing overall employee well-being.

Qualifications

• Masters degree in Biomedical Informatics, Computer Science, or related field required.
• 3 years of experience in machine learning or data science.
• Familiarity with computing for big data is essential.

Responsibilities

• Analyze source NAMs datasets for data structure and quality.
• Develop mapping specifications and transformation rules.
• Create ETL requirements to guide engineering staff.

Skills

Proficiency in Python

Skills in R

Machine learning tools (scikit-learn)

Predictive modeling knowledge

Good communication skills

Education

Masters degree in a quantitative discipline

Tools

Hadoop

Spark

Relational/SQL databases

NoSQL (MongoDB)

Job description

NYU Grossman School of Medicine is looking for a Data Science Analyst/Engineer in New York City. This role supports NAMs data for researchers by developing standards for data sharing and analysis. The candidate should have a master's degree in a quantitative discipline and at least three years of data science experience. The position emphasizes the design of data quality assurance and ETL frameworks and requires proficiency in programming languages like Python and R. Comprehensive benefits are provided, enhancing overall employee well-being.