Overview

We are seeking an experienced and highly motivated neuroscientist with strong experimental and quantitative analysis expertise to join our Discovery Psychiatry team. The successful candidate will develop and apply data analysis workflows, including machine learning approaches where appropriate, to identify in vitro functional biomarkers that predict neural circuit modulation and behavioral outcomes in vivo. The ideal candidate will have hands-on experience in electrophysiology and/or other neuronal activity assays, along with the ability to work with multimodal datasets and extract biologically meaningful insights. This interdisciplinary role is an exciting opportunity to help build and standardize cross-scale translational frameworks that support target validation and compound profiling efforts in a dynamic, collaborative drug discovery environment.

Key Responsibilities

• Design and execute hiPSC-based neuronal activity assays to support target validation and compound profiling efforts within psychiatry
• Contribute to the development and implementation of computational analysis workflows that streamline interpretation of complex multimodal datasets
• Integrate data across assays and scales using quantitative and machine learning-based approaches to generate predictive frameworks that enable identification of translationally relevant functional signatures
• Ensure alignment of assay development and data analysis efforts with broader cross-functional program team goals
• Present findings to internal teams to support strategic decision-making in psychiatry drug discovery
• Provide scientific guidance and mentoring to junior scientists and research associates