Senior Scientist, II Computational Neurobiology
AbbVie
August 25, 2026
Remote friendly (Cambridge, MA)
United States
$109,500 - $208,500 USD yearly
Clinical Research and Development
Overview
We are seeking an experienced, highly motivated neuroscientist to join our Discovery Psychiatry team. The role will develop and apply data analysis workflows (including machine learning when appropriate) to identify in vitro functional biomarkers that predict neural circuit modulation and behavioral outcomes in vivo.
Key Responsibilities:
- Design and execute hiPSC-based neuronal activity assays to support target validation and compound profiling in psychiatry
- Develop and implement computational analysis workflows to streamline interpretation of complex multimodal datasets
- Integrate data across assays and scales using quantitative and machine learning approaches to generate predictive frameworks for translationally relevant functional signatures
- Align 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
Qualifications:
- Bachelor’s (typically 12 years), Master’s (typically 10 years), or PhD (typically 4 years) in neuroscience, computational biology, bioengineering, or related field
- Demonstrated experience analyzing complex biological/neurophysiology datasets using quantitative and/or machine learning approaches
- Strong understanding of statistical methods and data analysis workflows for biological data
- Hands-on experience designing and executing in vitro assays related to synaptic and circuit function
- Experience with electrophysiology and/or other neuronal functional readouts
- Ability to work cross-functionally and communicate findings to technical and non-technical audiences
Desired Qualifications:
- Previous industry experience in early discovery neuroscience
- Experience building translational frameworks or predictive scoring approaches
- Familiarity with hiPSC-derived neuronal models
- Experience integrating multimodal datasets across experimental platforms
Benefits (as stated): paid time off; medical/dental/vision insurance; 401(k) (eligible employees); eligible for long-term incentive programs.
We are seeking an experienced, highly motivated neuroscientist to join our Discovery Psychiatry team. The role will develop and apply data analysis workflows (including machine learning when appropriate) to identify in vitro functional biomarkers that predict neural circuit modulation and behavioral outcomes in vivo.
Key Responsibilities:
- Design and execute hiPSC-based neuronal activity assays to support target validation and compound profiling in psychiatry
- Develop and implement computational analysis workflows to streamline interpretation of complex multimodal datasets
- Integrate data across assays and scales using quantitative and machine learning approaches to generate predictive frameworks for translationally relevant functional signatures
- Align 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
Qualifications:
- Bachelor’s (typically 12 years), Master’s (typically 10 years), or PhD (typically 4 years) in neuroscience, computational biology, bioengineering, or related field
- Demonstrated experience analyzing complex biological/neurophysiology datasets using quantitative and/or machine learning approaches
- Strong understanding of statistical methods and data analysis workflows for biological data
- Hands-on experience designing and executing in vitro assays related to synaptic and circuit function
- Experience with electrophysiology and/or other neuronal functional readouts
- Ability to work cross-functionally and communicate findings to technical and non-technical audiences
Desired Qualifications:
- Previous industry experience in early discovery neuroscience
- Experience building translational frameworks or predictive scoring approaches
- Familiarity with hiPSC-derived neuronal models
- Experience integrating multimodal datasets across experimental platforms
Benefits (as stated): paid time off; medical/dental/vision insurance; 401(k) (eligible employees); eligible for long-term incentive programs.