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Job Summary
Data Science Team Lead to direct all data science activities on several multi-year industry-sponsored studies focused on health and wellness. This individual will lead a team of data scientists in performing advanced statistical and machine learning analysis of longitudinal and cross-sectional data with a focus on making robust inferences related to health and wellness.
Qualifications
The MacRae Lab is seeking a dynamic and experiences Data Science Team Lead to direct all data science activities on several multi-year industry-sponsored studies focused on health and wellness. This individual will lead a team of data scientists in performing advanced statistical and machine learning analysis of longitudinal and cross-sectional data with a focus on making robust inferences related to health and wellness. Qualified candidates will have advanced formal training in computer science, including design and analysis of observational and experimental studies, causal inference, and strong statistical computing and programming skills. Comfort with a broad range of data types, including sensor and survey data is required. The candidate will work with senior & junior data scientists and report directly to senior leadership. The candidate will also work directly with the sponsor’s data science teams. The team lead will be the sounding board for the entire data science operation, guiding, training, and mentoring the other staff members. There will be the opportunity for career development with respect to authorship opportunities for journal manuscripts and abstracts/posters for professional scientific meetings.
This role will be responsible for working with large scale raw sensor data. The analytical strategy will be based primarily on longitudinal analyses and machine learning techniques. Longitudinal analyses will employ mixed-effects models to understand parameter distributions over time. Machine learning algorithms like Random Forests will be used to predict clinical outcomes, emphasizing interpretable models and features of importance. Raw sensor data (and derived physiological metrics) will be processed and transformed into meaningful/analyzable features, including removal of noisy measurements and imputation of missing values when applicable. Preprocessing will be applied to each sensor and physiological measure, focusing on capturing characteristics that are most important for resilience marker identification. This position is expected to be the lead data scientist on the projects and will be responsible for independently determining appropriate pathways and setting the standard for junior staff.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Lead data science strategy and execution across all projects, ensuring scientific rigor and reproducibility.
Assemble and explore multiple large datasets of observational data, both survey and sensor based, to define and test hypotheses related to predictors of health, disease and resilience (~25%)
Assemble and explore datasets of clinical outcome data from electronic health records (e.g., hospital readmissions, adverse events, lab values) that are potentially associated with readouts from wearable sensor data (~25%)
Lead and perform statistical analyses (including planning, programming, analysis, interpretation, visualization and writing of results) to address research questions (~25%)
Prepare and write all components of manuscripts, abstracts, and presentations at scientific meetings with assistance from Chief Data Scientist and Principal Investigator
Building machine learning predictive models using a variety of inputs derived from wearable device sensors
Mentor, guide, and train all data science staff members. This will included organizing growth opportunities such as journal clubs, poster presentations, etc…
Work with senior leadership to determine staffing needs and participate directly in the hiring and firing of data science staff.
Present work internally and to study sponsor in both scientific and non-scientific settings
Provide feedback regarding newly proposed study instruments and questionnaires
Write code using a collaborative version control system, ensuring proper documentation and periodic refactoring
Rearrange data in a format that allows for accurate use as well as possible integration and pooling across multiple data sets
Ability to incorporate clinical inferences in data analysis, specifically elements of HR, HRR, HRV, VO2 Max
Maintain department service standards as outlined in the BWH Code of Conduct
Performs other duties as required and as appropriate
QUALIFICATIONS:
SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
Additional Job Details (if applicable)
Remote Type
Remote
Work Location
221 Longwood Avenue
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The Brigham and Women's Hospital, Inc. 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.
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