PostdocResearch Fellow AI-Driven Computational Biology for CNS Drug Discovery and Delivery
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Qualifications
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 . We look forward to having you join us in advancing the fight against neurological diseases!
Additional Job Details (if applicable)
Remote Type
Work Location
EEO Statement:
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.
Key Skills
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Statistical Software
- Cell Culture
- Molecular Biology
- Data Analysis Skills
- Flow Cytometry
- Microscopy
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.
