This role supports a large NIH funded sleep research data repository by leading informatics architecture and computational scientific programming, while applying statistics and machine learning in a FAIR environment. The work includes advanced analysis and extensive cleaning of multi-modal physiological recordings to enable research access and usability.

Role Overview

Oversees the informatics architecture and computational scientific programming for the National Sleep Research Resource (NSRR). The NSRR is a large data repository that supports hundreds of researchers through an interactive, user-friendly portal linked to analytical and visualization tools within a FAIR environment (Findability, Accessibility, Interoperability, and Reusability).

Leads extensive data wrangling and cleaning of complex bio signal and other data, including both structured and unstructured sources. Utilizes and extends in-house workflows to summarize, visualize, transform, and document hundreds or thousands of multi-modal physiological sleep and circadian recordings.

Key Responsibilities

Conduct statistical analysis, hypothesis testing, and data modeling on large data sets.
Apply machine learning and AI to solve problems.
Identify key process drivers during analysis of large datasets.
Perform modeling, forecasting, and programming using Python or other programming languages.
Provide training to junior data scientists and/or analysts.
Participate in meetings with senior leaders when presenting study results.

Required Qualifications

Master’s Degree in Data Science or a Master’s Degree in a related field of study (experience in lieu of a degree is not accepted).
Familiarity with machine learning algorithms, statistical techniques, and data mining methods.
Experience manipulating large datasets and using databases.
Familiarity with healthcare data sources such as electronic health records (EHR), claims data, and administrative data.
Understanding of data governance, data quality, and data management principles.
Strong problem-solving and critical thinking skills, including the ability to analyze complex problems and develop innovative solutions.
Excellent communication skills to convey technical concepts to non-technical stakeholders.

Technologies

Python
Electronic health records (EHR)

Additional Position Details

Location: Boston, MA (hybrid)
Work Address: 221 Longwood Avenue
Schedule: 40 hours per week
Work Shift: Day (United States of America)
Employee Type: Regular
Remote Type: Hybrid
Patient Care: No
Scheduled Hours: 40
Grade: 7

Compensation and Experience

Base Salary Range: USD 93,953 - 136,739 per year
Pay Range: $93,953.60 - $136,739.20/Annual
Minimum Experience: 2 years

Competency Framework

The Mass General Brigham competency framework outlines observable leadership behaviors across ten competencies. The competencies are used to evaluate performance, guide hiring decisions, identify development needs, mobilize employees across the system, and strengthen the talent pipeline.

Senior Data Scientist

Job Description