Senior Data Scientist – Sleep & Health Informatics

Mass General Brigham Incorporated

Boston (MA)

Hybrid

USD 94,000 - 137,000

Full time

4 days ago
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Job summary

Mass General Brigham Incorporated is seeking a data scientist to oversee informatics architecture and computational scientific programming for the NIH-funded National Sleep Research Resource (NSRR). The role involves extensive data wrangling of large biomedical datasets and collaboration with researchers through a FAIR data environment.

The ideal candidate has a Master’s in data science or related field, 3–5 years of experience with a Master’s, strong Python skills, and experience with

Qualifications

  • Master's degree in data science or related field is required.
  • Experience: 2–3 years with PhD or 3–5 years with Master's.
  • Familiarity with ML algorithms, statistics and data mining.
  • Experience manipulating large datasets and databases.
  • Knowledge of healthcare data sources (EHR, claims, admin data).

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 programming languages.
  • Provides training to junior data scientists and/or analysts.
  • Participates in meetings with senior leaders when presenting study results.

Skills

ML algorithms
Statistical techniques
Data mining
Large datasets
Healthcare data
Data governance
Analytical skills
Communication

Education

Master's degree in data science or related field

Tools

Python

Job description

Mass General Brigham Incorporated is seeking a data scientist to oversee informatics architecture and computational scientific programming for the NIH-funded National Sleep Research Resource (NSRR). The role involves extensive data wrangling of large biomedical datasets and collaboration with researchers through a FAIR data environment.

The ideal candidate has a Master’s in data science or related field, 3–5 years of experience with a Master’s, strong Python skills, and experience with

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