Post Doctoral, Neuroscience

About the role

The Neuroscience and Mental Health Group in the Experimental Medicine Department at Boehringer Ingelheim's US headquarters in Ridgefield, CT, seeks a Postdoctoral Fellow to conduct independent translational neuroscience research focusing on identifying, validating, and operationalizing neuroimaging biomarkers of hippocampal hyperactivity and cognitive impairment in schizophrenia.

Responsibilities

• Design and conduct independent research projects focused on identifying and validating markers of hippocampal hyperactivity associated with cognitive impairment in schizophrenia, including analyses of ASL, resting-state and task-based fMRI, regional activity measures, and hippocampal subfield phenotypes.
• Integrate neuroimaging phenotypes with molecular, receptor-distribution, transcriptomic, and circuit-level brain atlas resources to generate mechanistically interpretable hypotheses and reusable translational neuroscience workflows.
• Develop, validate, and benchmark scalable and reproducible neuroimaging preprocessing, quality-control, and AI-enabled analysis workflows for large multimodal datasets, ensuring timely delivery of high-quality analyses supporting biomarker development.
• Explore cognitive, clinical, and behavioral measures as scalable surrogate markers of hippocampal hyperactivity to support patient stratification and clinical-trial enrichment.
• Collaborate with other researchers within and outside Boehringer Ingelheim, effectively communicating and defending your work in the context of team and department goals, both orally and in writing.
• Publish first-author manuscript(s) and/or patenting of novel technologies/processes.

Requirements

• Ph.D. degree in neuroscience, computational neuroscience, biomedical engineering, data science, statistics, or a related discipline, with a preference of no more than three (3) years of previous Post Doctoral experience.
• Demonstrated experience in human neuroimaging and data science, ideally in psychiatry, schizophrenia, psychosis, cognitive impairment, or mental health research.
• Broad experience with neuroimaging study design and analysis, including statistical modeling, computational approaches, biomarker development, and interpretation of multimodal imaging readouts.
• Experience working with large multimodal imaging datasets and integrating imaging data with clinical, cognitive, electrophysiological, digital, molecular, or behavioral measures.
• Proficiency in Python for data-science workflows and in the Linux command line; knowledge of R or MATLAB is a plus.
• Proficiency with one or more neuroimaging preprocessing and analysis platforms, such as FSL, SPM, AFNI, CONN, FreeSurfer, NiPy, or NiPreps.
• Experience developing reproducible preprocessing and quality-control workflows; knowledge of containerization, pipeline orchestration, cloud infrastructure, or agentic AI frameworks is a plus.
• Ability to formulate original scientific questions, independently design and execute rigorous research, critically interpret results, and develop novel methodologies.
• Strong teamwork, interpersonal, writing, presentation, and communication skills, with the ability to collaborate effectively in internal, external, global, and remote settings.
• Fluent in English.

Eligibility Requirements

• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required).
• Must be 18 years of age or older.

Compensation

This position offers a base salary of $80,000.00. The position may be eligible for a role-specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits, please click here.