Senior Scientist, II Computational Neurobiology

Job description

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 Bachelor’s Degree or equivalent education and typically 12 years of experience, Master’s Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience in neuroscience, computational biology, bioengineering, or a related field Demonstrated experience analyzing complex biological or neurophysiology datasets using quantitative and/or machine learning approaches Strong understanding of data analysis workflows and statistical methods applied to biological data Hands-on experience in the design and execution of in vitro assays related to synaptic and circuit function Experience working with electrophysiology and/or other neuronal functional readouts Strong ability to work in cross-functional teams and effectively communicate scientific findings to both technical and non-technical audiences Desired Qualifications Previous industry experience within early discovery neuroscience Experience building translational frameworks or predictive scoring approaches for functional biology data Familiarity with hiPSC-derived neuronal models Experience working with multimodal datasets and integrating data across experimental platforms