Postdoctoral Research Fellow Studying Athlete and Military Brain Health (massgeneralbrigham)
Job posting number: #236496 (Ref:RQ4017023)
Job Description
Site: The Spaulding Rehabilitation Hospital Corporation
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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.JOB IS FROM: postdocjobs.siteVIEW
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.
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