Senior Data Scientist – Sleep Research (Hybrid)

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

Job summary

Mass General Brigham in Boston seeks a data scientist to oversee informatics architecture and computational programming for the National Sleep Research Resource (NSRR), an NIH-funded data repository with a highly interactive portal and analysis tools in a FAIR environment.

The role involves extensive data wrangling of multi-modal sleep and circadian recordings, modeling and visualization, and mentoring junior analysts. Hybrid work with on-site at 221 Longwood Avenue, 40 hours weekly.

Qualifications

• Master's Degree in Data Science or related field required.
• 2–3 years of DS with PhD or 3–5 years with Master preferred.
• Experience with large biomedical datasets and data governance.

Responsibilities

• Perform statistical analysis, hypothesis testing, and data modeling on large data sets.
• Apply machine learning and AI to solve problems.
• Identify key drivers in large datasets.
• Model, forecast, and program using Python and other languages.
• Provide training to junior data scientists and analysts.
• Present study results in meetings with senior leaders.

Skills

Statistical analysis

Machine learning

Data wrangling

Python

Data visualization

Large datasets

Education

Master's Degree in Data Science

Tools

SQL

EHR data

Jupyter

Git

Job description

Mass General Brigham in Boston seeks a data scientist to oversee informatics architecture and computational programming for the National Sleep Research Resource (NSRR), an NIH-funded data repository with a highly interactive portal and analysis tools in a FAIR environment.

The role involves extensive data wrangling of multi-modal sleep and circadian recordings, modeling and visualization, and mentoring junior analysts. Hybrid work with on-site at 221 Longwood Avenue, 40 hours weekly.