PostDoctoral Research Fellow

Overview

The Stanton Laboratory in the Center for Genomic Medicine at the Massachusetts General Hospital, Harvard Medical School, is seeking highly motivated post-doctoral Fellow candidates. The Stanton Laboratory develops and harnesses advanced bioengineered brain models to identify potential therapeutic strategies, coupling models to AI-driven approaches, while advancing precision medicine approaches and developing technologies for drug delivery to the brain to further facilitate translation.

The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Research Fellow at the Harvard Medical School.

The Post-Doctoral Fellow will develop and leverage next generation 3D iPSC-derived multicellular brain models for analyzing pathologies via multi-omics, drug testing, and AI-coupling. The Post-Doctoral fellow will be situated in the MGH under the guidance and mentorship of Dr. Alice Stanton.

The Post-Doctoral Fellow will contribute to the development and usage of next generation 3D iPSC-derived multicellular brain models to study disease pathologies, perform multi-omics analyses, conduct drug testing, and apply AI-driven approaches to data interpretation and model advancement.

• First (or co-first) author of one or more high impact peer-reviewed scientific publications
• Excellent English verbal and written communication skills
• Able to work both independently and in a team
• Expertise in iPSC culture, differentiation, and 3D co-cultures
• Expertise in cellular/molecular techniques including scRNAseq, FACS, IHC, ELISA, PCR, and confocal microscopy
• Background in neurodegenerative disease modeling, ideally ALS or related pathologies
• Expertise in genetic engineering, including designing and optimizing genetic cassettes
• Strong analytical skills for phenotypic data interpretation and assay optimization
• Excellent organizational, communication, and teamwork abilities in a fast-paced research environment

• Experience with organ-on-chip development and high-content screening in organoids
• Experience with drug screening, pharmacology, ADMET profiling
• Experience with computational analysis of multi-omic data
• Experience with AI frameworks: NLP, GNN, RL, etc.
• Familiarity with ALS patient cell repositories (e.g., NINDS, MGB)
• Knowledge of AI frameworks

Please submit your CV, a cover letter detailing your relevant experience and interest in the project and contact information for three references to aestantonvard.edu. We look forward to having you join us in advancing the fight against ALS!

Massachusetts General Physicians Organization, Inc. is an Equal Opportunity 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.