Senior Scientist II, Machine Learning in Migraine and Neuroscience

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

AbbVie Neuroscience is expanding its Discovery (The Advanced Cell Technologies, Screening and Sequencing) team in Cambridge, Massachusetts, which will work closely with the Migraine team as well as other Neuroscience pillars. This position in ACTS is focused on combining computational and experimental approaches to identify and validate new targets for the treatment of neurological diseases.

We are seeking a highly motivated scientist largely focused on using datasets derived from disease tissue to address these needs. The successful candidate will play a crucial role in developing and implementing cutting-edge computational approaches to improve our understanding of migraine and neurologic disease pathophysiology, the biology underlying drug non-response, and identify novel targets. Specifically, this role will involve integrating multi-omics data, building gene regulatory network models, and leveraging machine learning techniques. 

The person will work in a multi-disciplinary, cross-functional team analyzing multi-omics datasets to derive insights into migraine and other neurological diseases, and identify novel therapeutic targets specific to patient cohorts. In addition, the candidate will contribute to presentations at scientific conferences, publications of translational findings in peer reviewed journals, new drug applications, and regulatory filings. If you are passionate about translating complex biological data into actionable insights and contributing to the development of medicines for debilitating diseases, we encourage you to apply.

Key Responsibilities

• Multi-Omics Integration:
  • Integrate diverse omics data (e.g., gene expression, proteomics, genomic