Postdoc/Research Fellow AI-Driven Computational Biology for CNS Drug Discovery and Delivery

Site: Massachusetts General Physicians Organization, 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.

Job Summary

We are seeking a highly motivated Postdoctoral Fellow to lead computational efforts focused on AI-accelerated drug discovery and delivery for neurological diseases. The ideal candidate will develop and apply cutting-edge machine learning methods to integrate multimodal and multiomics datasets, identify therapeutic targets/drugs, and design novel compounds, and leverage our unique in vitro models and in vivo nanotechnology tools. This role will involve driving high-impact, interdisciplinary research at the intersection of AI, single-cell omics, and translational neuroscience, with access to state-of-the-art resources and close collaboration with experimental teams generating novel datasets. Join our dynamic, multidisciplinary team as we develop new strategies to tackle neurodegeneration, together with the incredible collaborators and resources of the MGB/HMS/Broad/MIT ecosystem and partner biopharmaceutical companies.

Responsibilities:

• Integrate multimodal data and develop and train AI foundation models on large-scale biological datasets for predictive modeling of cellular responses, target identification, and drug candidate identification.
• Apply generative and sequence-based ML models to design, model, and optimize binding peptides.
• Analyze high throughput screens and biological datasets to inform in silico predictions.
  

Required Qualifications:

• PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related field (recently completed or near completion).

• Strong publication record demonstrating expertise in ML applied to biology.

• Expertise in Python; experience with deep learning frameworks (PyTorch/TensorFlow); single-cell genomics analysis (Seurat, Scanpy, scVI, etc.); and perturbation modeling (e.g., GEARS, scGen).

• Excellent organizational, communication, and teamwork abilities in a fast-paced research environment.

• Interest in translational impact.

Preferred Qualifications:

• Experience with biological foundation models (e.g., scGPT, Geneformer, scBERT); generative AI for sequences/proteins/peptides (e.g., RFdiffusion variants); cheminformatics tools (e.g., RDKit, PubChem querying); active learning/uncertainty quantification; pipeline automation (e.g., custom scripts or Airflow); integration of public resources (e.g., OpenTargets, ChEMBL); or basic computational ADMET/pharmacokinetics assessment.

• Background in neurodegenerative disease.

• Wet lab skills in molecular and cellular biology, nanotechnology, and pharmacology.

How to Apply: Please submit your CV, a cover letter detailing your relevant experience and interest in the project and contact information for three references to Alice Stanton at aestanton@mgh.harvard.edu . We look forward to having you join us in advancing the fight against neurological diseases!

Onsite

185 Cambridge Street

Massachusetts General Physicians Organization, 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)-282-7642.

Mass General Brigham Competency Framework