Senior Data Scientist Redline Lab

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

Job summary

Mass General Brigham is seeking a data scientist to oversee the informatics architecture for the NIH-funded National Sleep Research Resource (NSRR). The role focuses on large-scale data wrangling, visualization, and documentation of multi-modal sleep and circadian recordings within a FAIR environment.

The candidate will apply statistical modeling and ML to solve problems, train junior data scientists, and present results to senior leadership. Hybrid work arrangement with 40 hours/week on site.

Qualifications

• Requires a Master's in Data Science or related field.
• Experience handling large datasets and healthcare data sources.

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.
• Performs modeling, forecasting, and programming using Python or other languages.
• Provides training to junior data scientists and/or analysts.
• Participates in meetings with senior leaders when presenting study results.

Skills

Statistical analysis

Machine learning

Data wrangling

Python

Data visualization

Communication

Education

Master's Degree in Data Science or related field

Job description

Site: Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

Summary

Oversees the informatics architecture and computational scientific programming for a large NIH funded data repository, 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 (Findability, Accessibility, Interoperability, and Reusability). The candidate needs to have excellent computational skills and experience working with large data sets. The role includes extensive data wrangling and cleaning of complex bio signal and other data (both structured and unstructured), utilizing and extending in-house workflows to summarize, visualize, transform and document hundreds or thousands of multi-modal physiological sleep and circadian recordings.

Does this position require Patient Care?

No

Essential Functions

• 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.
• Performing 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.

Qualifications

Education

Master's Degree Data Science required or Master's Degree Related Field of Study required

Can this role accept experience in lieu of a degree?

No

Experience

Data Science experience with PhD 2-3 years required or Data Science experience with a Master's 3-5 years required

Knowledge, Skills and Abilities

• Familiarity with machine learning algorithms, statistical techniques, and data mining methods.
• Experience in 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.
• Proficient problem-solving and critical thinking skills, with the ability to analyze complex problems and develop innovative solutions.
• Excellent communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

221 Longwood Avenue

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range

$93,953.60 - $136,739.20/Annual

Grade

7At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth.

EEO Statement:

0100 Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.