Job Details

Site: The Brigham and Women's Hospital, Inc.

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.

LW, 100% research funded research fellow

Job Summary
The Division of General Internal Medicine and Primary Care, Department of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS), invites applications for a postdoctoral fellowship in medical informatics. The Division is nationally recognized for providing compassionate, high-quality care, pioneering innovative medical education, and conducting cutting-edge clinical and health services research.

We are seeking one highly motivated, diligent, and independent Research Fellow to join a dynamic research team supported by grants from the National Institutes of Health (NIH). This position focuses on advancing biomedical informatics research by applying artificial intelligence (AI) techniques and longitudinal electronic health records (EHRs) for disease phenotyping, risk factor identification, patient stratification, and predictive modeling. The successful candidate will design, develop, and evaluate innovative methods for data mining and analytics, leveraging comprehensive clinical knowledge bases, advanced natural language processing (NLP)/large language models (LLMs), and machine learning techniques. The ultimate goals are to drive knowledge discovery, improve clinical decision-making, enhance patient safety, and elevate the quality of care.

The fellowship is based at Brigham and Women's Hospital, Harvard Medical School, and Mass General Brigham, offering a collaborative, multidisciplinary environment at the forefront of health information technology research. Fellows will have the opportunity to engage in groundbreaking research, contribute to ongoing projects, and propose novel research initiatives with the potential to secure external funding. During the appointment period, Fellows will be strongly encouraged to publish their research findings in high-impact journals and present their work at national and international conferences.

This opportunity is ideal for individuals who are both independently driven and collaborative, thriving in a vibrant research environment alongside a large team of experienced faculty and staff. Fellows must be comfortable giving and receiving constructive feedback, incorporating insights to improve their work, and transparently sharing their ideas and decision-making processes. Recognizing and valuing the contributions of colleagues is essential, as is the ability to communicate effectively within a diverse, multidisciplinary team.

Qualifications

General Summary/Overview Statement Summarize the nature and level of work performed

The Division of General Internal Medicine and Primary Care, Department of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS), invites applications for a postdoctoral fellowship in medical informatics. The Division is nationally recognized for providing compassionate, high-quality care, pioneering innovative medical education, and conducting cutting-edge clinical and health services research.

We are seeking one highly motivated, diligent, and independent Research Fellow to join a dynamic research team supported by grants from the National Institutes of Health (NIH). This position focuses on advancing biomedical informatics research by applying artificial intelligence (AI) techniques and longitudinal electronic health records (EHRs) for disease phenotyping, risk factor identification, patient stratification, and predictive modeling. The successful candidate will design, develop, and evaluate innovative methods for data mining and analytics, leveraging comprehensive clinical knowledge bases, advanced natural language processing (NLP)/large language models (LLMs), and machine learning techniques. The ultimate goals are to drive knowledge discovery, improve clinical decision-making, enhance patient safety, and elevate the quality of care.

The fellowship is based at Brigham and Women's Hospital, Harvard Medical School, and Mass General Brigham, offering a collaborative, multidisciplinary environment at the forefront of health information technology research. Fellows will have the opportunity to engage in groundbreaking research, contribute to ongoing projects, and propose novel research initiatives with the potential to secure external funding. During the appointment period, Fellows will be strongly encouraged to publish their research findings in high-impact journals and present their work at national and international conferences.

This opportunity is ideal for individuals who are both independently driven and collaborative, thriving in a vibrant research environment alongside a large team of experienced faculty and staff. Fellows must be comfortable giving and receiving constructive feedback, incorporating insights to improve their work, and transparently sharing their ideas and decision-making processes. Recognizing and valuing the contributions of colleagues is essential, as is the ability to communicate effectively within a diverse, multidisciplinary team.

Principal Duties and Responsibilities Indicate key areas of responsibility, major job duties, special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation.

For all positions that include direct patient care, indicate with an "X" the age(s) of all patient populations served

No Direct Patient Care

X

All age groups

Adolescence (13 to 17 years)

Neonates (birth to 1 month)

Young Adult (18 to 25 years)

Infant (1 month to 1year)

Adult (26 to 54 years)

Early Childhood (12 months to 5 years)

Senior Adult (55 to 64 years)

Late Childhood (6 to 12 years)

Geriatric (65 years and up)

The duties and responsibilities will vary depending on the specific topic area in which the fellow works, but will generally include:

• Collaborating with a multidisciplinary team of researchers, clinicians, and data scientists to achieve project goals.
• Participating in the design, development, implementation, and evaluation of proposed system and methods.
• Leading or contributing to the design and development of novel AI/informatics methods and applications.
• Conducting data analysis and system evaluation.
• Leading or contributing to manuscript preparation, writing, and submission to peer-reviewed journals.
• Presenting research findings at national and international conferences, seminars, and workshops.

Qualifications (MUST be realistic, neither overstated nor understated, and related of the essential function of the job).

• A PhD in biomedical informatics, computer science, information science, computational linguistics, statistics, data science, or a closely related field; or an MD/PharmD with demonstrated strength in biomedical informatics research.
• Experience in biomedical informatics research; ability to plan and carry out research experiments and projects.
• Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
• Programming experience in computer programming languages (e.g., Python, Java, C#, SQL, R, etc).
• Familiar with machine learning and statistical informatics methods.
• Experience of analyzing healthcare data (e.g., EHR, claims) are desirable, but not required.

Application materials:

• Cover letter
• CV
• Three Letters of reference preferred, or contact info of references
• Sample publication with clearly stated individual contributions

Skills/Abilities/Competencies Required (MUST be realistic, neither overstated nor understated, and related of the essential function of the job).

• Programming skills in computer programming languages (e.g., Python, Java, or C) and experience in artificial intelligence model development.
• Experience in machine learning and statistical methods.
• Excellent oral and written communication skills.
• Ability to accept and adjust to feedback from supervisors.
• Professionalism, respect, and regard for patient privacy.
• Outstanding team player with the ability to thrive in a dynamic environment and adapt to shifting priorities, demands, and timelines.
• Strong organizational skills and time management abilities.
• Ability to prioritize tasks and meet deadlines.

• Strong work ethic and industrious nature.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

1620 Tremont Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

2200 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)-###-####.

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.