Senior Data Scientist: Sleep Data & AI Analytics

0100 Mass General Brigham Incorporated; Boston (MA); Hybrid; USD 94,000 - 137,000; Full time

Job summary

Mass General Brigham Incorporated in Boston seeks an expert to oversee the informatics architecture and computational scientific programming for the National Sleep Research Resource (NSRR). The NSRR supports hundreds of researchers in accessing sleep and other research data through a highly interactive and user-friendly portal linked to powerful analytical and visualization tools within a FAIR environment.

The candidate will wrangle large datasets, build in-house workflows, and collaborate with

Qualifications

• Master’s degree in Data Science or related field required.
• PhD not substituted for degree.
• Experience with ML algorithms, statistics, and data mining.
• Handling large datasets and databases.
• Familiarity with EHR/claims/administrative healthcare data.
• Understanding data governance and data quality principles.
• Excellent communication and ability to explain technical concepts.

Responsibilities

• Performs statistical analysis, hypothesis testing, and data modeling on large data sets.
• Uses machine learning and AI to solve problems.
• Identifies key process drivers when analyzing large datasets.
• Modeling, forecasting, and programming using Python or other languages.
• Provides training to junior data scientists and analysts.
• Participates in meetings with senior leaders when presenting study results.

Skills

Machine learning

Data analysis

Statistical analysis

Large datasets

Healthcare data

Data governance

Communication

Education

Master's Degree in Data Science or related field

Tools

Python

Job description

Mass General Brigham Incorporated in Boston seeks an expert to oversee the informatics architecture and computational scientific programming for the National Sleep Research Resource (NSRR). The NSRR supports hundreds of researchers in accessing sleep and other research data through a highly interactive and user-friendly portal linked to powerful analytical and visualization tools within a FAIR environment.

The candidate will wrangle large datasets, build in-house workflows, and collaborate with