Postdoctoral Research Fellow Studying Athlete and Military Brain Health

Mass General Brigham Health Plan, Inc.; Massachusetts; Hybrid; USD 65,000 - 95,000; Full time

Job summary

An innovative research opportunity awaits a Postdoctoral Research Fellow to join a dynamic lab focused on athlete and military brain health. This role involves leading projects that explore the effects of traumatic brain injury through advanced machine learning and data analysis techniques. Candidates will work in a collaborative environment, utilizing multimodal datasets to enhance diagnostic accuracy and identify new therapeutic strategies. The position offers access to expansive clinical resources and opportunities for impactful publications, making it ideal for those passionate about advancing neuroscience in a meaningful way.

Benefits

Access to large-scale clinical datasets

Opportunities for publication and presentations

Collaborative research environment

Qualifications

• PhD or equivalent in neuroscience or related field required.
• Expertise in machine learning and computational modeling for biomedical research.

Responsibilities

• Develop predictive models using multimodal datasets including EEG and MRI.
• Collaborate on grant proposals and provide mentorship to research trainees.

Skills

Machine Learning

Computational Neuroscience

Data Analysis

Programming (Python, MATLAB, R)

Neuroimaging Analysis

Education

PhD in Neuroscience

PhD in Biomedical Engineering

PhD in Bioinformatics

Tools

EEG

MRI

Clinical Telemetry

Job description

Postdoctoral Research Fellow Studying Athlete and Military Brain Health page is loaded

Postdoctoral Research Fellow Studying Athlete and Military Brain Health

Apply remote type Hybrid locations Charlestown-MA time type Full time posted on Posted 3 Days Ago job requisition id RQ4017023 Site: The Spaulding Rehabilitation Hospital Corporation

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

The LATE-TBI Lab at Spaulding Rehabilitation Hospital is seeking a Postdoctoral Research Fellow with expertise in computational neuroscience or biomedical data science. The lab investigates the short- and long-term effects of traumatic brain injury, including concussion and blast exposures, with a focus on conditions such as chronic traumatic encephalopathy (CTE) and amyotrophic lateral sclerosis (ALS). The Fellow will lead projects using multimodal datasets, including neuroimaging, EEG, biospecimens, electronic health records, and physiologic telemetry. They will develop machine learning models to improve diagnostic accuracy, predict clinical outcomes, and identify novel therapeutic targets. Ideal candidates will hold a PhD in a related field, have strong programming and data analysis skills, and experience working with large biomedical datasets. This role offers a collaborative research environment, access to expansive clinical resources, and opportunities for impactful publications and national presentations.

Qualifications

Postdoctoral Research Fellow – LATE-TBI Lab, Spaulding Rehabilitation Hospital

Overview:
The Long-term Assessment and Treatment Exploration for TBI (LATE-TBI) Lab, directed by Daniel Daneshvar, MD, PhD, at Spaulding Rehabilitation Hospital, seeks a highly motivated Postdoctoral Research Fellow with expertise in computational neuroscience, biomedical data science, or related disciplines. The lab studies the acute and chronic effects of traumatic brain injury, including concussion and blast-related exposures among military service members. Research includes the identification of novel biomarkers for concussion diagnosis, the investigation of long-term neurodegenerative outcomes such as chronic traumatic encephalopathy (CTE) and amyotrophic lateral sclerosis (ALS), and improving HealthSpan through enhanced recovery and therapeutic strategies.

The Postdoctoral Fellow will lead projects using multimodal data including neuroimaging, EEG, electronic health records (EHR), biospecimens, and telemetry. The Fellow will develop advanced artificial intelligence and machine learning models aimed at predicting clinical outcomes, refining diagnostic accuracy, and identifying targets for early intervention in traumatic brain injury and related disorders.

Key Responsibilities May Include:

• Develop, implement, and validate predictive computational models using multimodal datasets, including EEG, MRI, clinical telemetry, and electronic health records.
• Process and analyze neuroimaging data to explore biomarkers and neural correlates of concussion and neurodegenerative diseases.
• Author manuscripts, abstracts, and presentations for dissemination at national and international scientific meetings.
• Collaborate on grant proposals, protocols, and regulatory documentation related to ongoing research projects.
• Provide mentorship to fellows, residents, research assistants, and other trainees involved in data analysis and computational modeling.
• Engage in regular interdisciplinary meetings and actively contribute to collaborative research networks across Harvard Medical School, Spaulding Rehabilitation Hospital, and affiliated institutions.

Qualifications:

• PhD or equivalent terminal degree in neuroscience, biomedical engineering, bioinformatics, computer science, biostatistics, data science, or a related field.
• Demonstrated expertise in machine learning methods, artificial intelligence, and computational modeling techniques applied to biomedical research.
• Proficiency in programming languages such as Python, MATLAB, or R.
• Experience with EEG, neuroimaging (MRI, DTI, fMRI), or physiologic telemetry data.
• Ability to integrate and analyze large-scale clinical or biomedical datasets.
• Strong publication record and excellent written and verbal communication skills.
• Ability to independently design experiments, solve research problems, and effectively collaborate in an interdisciplinary team setting.

Preferred Qualifications:

• Prior experience in research related to traumatic brain injury, concussion, neurodegeneration, or military-related injury.
• Experience working with clinical databases and familiarity with regulatory processes for human subjects research, including IRB procedures.

What We Offer:

• A dynamic, interdisciplinary research environment at the forefront of neuroscience, sports, and military service.
• Access to large-scale clinical datasets.
• Opportunities to publish in top-tier journals and present at leading conferences.
• A collaborative and intellectually stimulating research team with strong neuroscience expertise.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

300 First Avenue

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

The Spaulding Rehabilitation Hospital Corporation 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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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.