Senior Neuroscience Scientist — Translational Data & ML

AbbVie

Cambridge (MA)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
401(k) plan
Long-term incentive programs

Job summary

AbbVie is seeking an experienced neuroscientist to join our Discovery Psychiatry group. The role focuses on developing data analysis workflows and applying machine learning to identify in vitro biomarkers that predict neural circuit modulation and behavioral outcomes in vivo.

Hands-on electrophysiology or neuronal activity expertise is highly valued. You will collaborate across cross-functional teams to standardize translational frameworks, validate targets, and profile compounds, contributing

Qualifications

  • PhD in neuroscience or related field with strong experimental/computational background.
  • Experience applying quantitative methods to complex biological data.
  • Hands-on experience with electrophysiology or neuronal activity assays is preferred.

Responsibilities

  • Design and perform hiPSC-based neuronal activity assays to support target validation and compound profiling.
  • Develop computational workflows to analyze multimodal datasets.
  • Integrate data across assays using ML-based approaches to identify translational biomarkers.
  • Present findings to cross-functional teams and mentor junior scientists.

Skills

Neuroscience
Computational biology
Machine learning
Data analysis

Education

PhD in neuroscience
Master's in related field
Bachelor's degree

Tools

Python
R
Jupyter

Job description

AbbVie is seeking an experienced neuroscientist to join our Discovery Psychiatry group. The role focuses on developing data analysis workflows and applying machine learning to identify in vitro biomarkers that predict neural circuit modulation and behavioral outcomes in vivo.

Hands-on electrophysiology or neuronal activity expertise is highly valued. You will collaborate across cross-functional teams to standardize translational frameworks, validate targets, and profile compounds, contributing

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