Postdoctoral Scientist – CNS Neuroimaging & Quantitative Data Science
Eli Lilly and Company
5 hours ago
On-site
Boston, MA
Clinical Research and Development
Position Overview:
Postdoctoral Scientist in CNS Neuroimaging (DDCS). Support CNS therapeutic development by applying multimodal neuroimaging and quantitative data analytics across discovery and translational research.
Key Responsibilities:
- Receive, organize, curate, and analyze multimodal CNS neuroimaging datasets (MRI, CT, etc.).
- Apply quantitative analysis for regional CNS exposure, delivery efficiency, anatomical specificity, tissue response, and longitudinal change.
- Perform preprocessing/analysis workflows: registration, segmentation, artifact assessment, and region-based quantification.
- Implement atlas-based registration/segmentation using CNS atlases (e.g., Allen Brain Atlas, Paxinos).
- Manage large multi-study imaging datasets with data integrity, reproducibility, and documentation.
- Use neuroimaging tools: FSL, ANTs, ITK-SNAP, 3D Slicer.
- Develop Python-based image analysis workflows and scalable pipelines.
- Integrate neuroimaging with histology, IHC, and molecular biodistribution readouts; create interpretable visualizations/summaries.
- Collaborate with internal teams and external CROs to optimize imaging strategy, data quality, and analytical approaches; provide input to improve acquisition quality and protocol consistency.
- Contribute to standardized, scalable pipeline development and explore emerging approaches.
Basic Requirements:
- PhD in a relevant quantitative field (Imaging Sciences, BME, Medical Physics, Neuroscience, Physics, Computer Science, etc.).
- Neuroimaging data handling/analysis experience (preprocessing + quantitative methods).
- Strong programming for image analysis (preferably Python).
- Experience with large datasets and visualization to communicate insights.
- Independent work with multidisciplinary teamwork; strong written/verbal communication.
- Work authorization to work in the US full-time; no visa sponsorship.
Additional Preferences:
- Hands-on preclinical/in vivo CNS experience and animal models.
- Neuroimaging physics/contrast knowledge (MRI and/or other modalities).
- CRO collaboration experience; translational/pharma biotech neuroscience experience.
- Interest in CNS drug delivery/gene therapy/neurodegeneration/advanced neuroimaging.
Other Information:
- Fixed-term: 1 year, extendable up to 4 years; eligible to apply for full-time positions upon completion.
- Based in Boston, MA; daily on-site presence and lab work.
Postdoctoral Scientist in CNS Neuroimaging (DDCS). Support CNS therapeutic development by applying multimodal neuroimaging and quantitative data analytics across discovery and translational research.
Key Responsibilities:
- Receive, organize, curate, and analyze multimodal CNS neuroimaging datasets (MRI, CT, etc.).
- Apply quantitative analysis for regional CNS exposure, delivery efficiency, anatomical specificity, tissue response, and longitudinal change.
- Perform preprocessing/analysis workflows: registration, segmentation, artifact assessment, and region-based quantification.
- Implement atlas-based registration/segmentation using CNS atlases (e.g., Allen Brain Atlas, Paxinos).
- Manage large multi-study imaging datasets with data integrity, reproducibility, and documentation.
- Use neuroimaging tools: FSL, ANTs, ITK-SNAP, 3D Slicer.
- Develop Python-based image analysis workflows and scalable pipelines.
- Integrate neuroimaging with histology, IHC, and molecular biodistribution readouts; create interpretable visualizations/summaries.
- Collaborate with internal teams and external CROs to optimize imaging strategy, data quality, and analytical approaches; provide input to improve acquisition quality and protocol consistency.
- Contribute to standardized, scalable pipeline development and explore emerging approaches.
Basic Requirements:
- PhD in a relevant quantitative field (Imaging Sciences, BME, Medical Physics, Neuroscience, Physics, Computer Science, etc.).
- Neuroimaging data handling/analysis experience (preprocessing + quantitative methods).
- Strong programming for image analysis (preferably Python).
- Experience with large datasets and visualization to communicate insights.
- Independent work with multidisciplinary teamwork; strong written/verbal communication.
- Work authorization to work in the US full-time; no visa sponsorship.
Additional Preferences:
- Hands-on preclinical/in vivo CNS experience and animal models.
- Neuroimaging physics/contrast knowledge (MRI and/or other modalities).
- CRO collaboration experience; translational/pharma biotech neuroscience experience.
- Interest in CNS drug delivery/gene therapy/neurodegeneration/advanced neuroimaging.
Other Information:
- Fixed-term: 1 year, extendable up to 4 years; eligible to apply for full-time positions upon completion.
- Based in Boston, MA; daily on-site presence and lab work.