Site: The General Hospital Corporation

At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.

At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.

Job Summary

MassGeneral hospital has initiated a broad effort to coordinate the multiple data and digital health projects across the institutions in order to support continued digital health growth, improve patient experience and outcomes, streamline operational efficiencies, and enhance data capture and analytics. This involves the implementation of expert developed treatment algorithms. The National Heart Lung and Blood institute from the National institutes of Health (NIH) has funded a research project in this space to develop a framework to stratify patient cohorts for clinical management. The goal of this project is to improve healthcare delivery. The Analyst with expertise in large language models and natural language processing, will support this project. After his/her initial training, he/she will be embedded with the multi-disciplinary team. This arrangement will allow the analyst to develop a strong relationship with and function as a member of the research team on a day-to-day basis, while also providing him/her support from the broader analytical community including training, collegial support/guidance, and career development activities. The analyst will have access to an extraordinary range of healthcare data including medical and pharmacy claims, enrollment, EMR, scheduling, referral and laboratory results. This role requires working with multiple sources of healthcare data (ex: claims, financial, and clinical data) to meet both reporting requirements and support new initiatives. The analyst will be expected to develop an understanding of health-care data structures as well as the ability to translate specifications into programming logic. The analyst will be expected to work on new and existing projects, function independently within a fast-paced environment, work on several different projects/tasks concurrently. Effectively communicating issues and results is critical to being successful in this position. PRINCIPAL DUTIES AND RESPONSIBILITIES: Data Analyst – Natural Language Processing · Develop software for natural language processing · Developing and optimizing large language models for extracting data from clinical notes · Developing machine learning models. · Identifying and risk stratifying the cohort(s) who might benefit most from the intervention programs. · Collect, analyze and interpret healthcare data (ambulatory, inpatient, billing, etc); coordinate with appropriate team member(s) to develop quality of care measurements and tools. 'Manage data collection processes. · Developing data collection systems and other strategies that optimize data quality. Acquires data from primary or secondary data sources and maintains databases/data systems in an accurate and timely fashion. · Organize databases, transform, prepare/transform data for subsequent data processing, statistical analysis and display. · Develop data solutions that can be made reusable, automated and standardized for data management and report generation. · Developing metrics that measure programmatic success and outcomes. · Working collaboratively with multidisciplinary research team members · Other details as assigned

SKILLS & COMPETENCIES REQUIRED: - Excellent oral, written communication and problem-solving skills required. - Strong ability to work independently and within team setting to achieve outcomes - A general understanding of managed care organizations, healthcare financial analysis, governmental reimbursement methodologies, health care plan design, and medical claims payment process is preferred, but not required. - Excellent skills in python libraries for large language models and natural language processing - Excellent quantitative, analytical, database management (Access) and spreadsheet (Excel) utilization skills required with strong orientation to detail_ - Experience with analytics reporting and data interpretation/presentation in healthcare or actuarial environment. Strong analytical skills with the ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy. - Ability to effectively present information to leadership and respond to inquiries. - Ability to read, analyze, and interpret health care journals, IS manuals, technical procedures, and governmental regulations. - Ability to write reports, business correspondence and procedure manuals. - Ability to solve practical problems and deal with a variety of variables in situations with only limited standardization. - Ability to manage multiple projects simultaneously, set priorities, and collaborate with team members. - Self-motivated, resourceful, and able to take initiative. - Confident working independently. EXPERIENCE: - Masters's degree required. Degree in computer science, healthcare informatics, information systems, or statistics preferred from an accredited college. - Proficiency in large language models, natural language processing, python and machine learning is required.

Additional Job Description

Hybrid

335 Revolution Drive

40

Regular

Day (United States of America)

The General Hospital Corporation is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.

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.