Senior Scientist I​/II, Precision Medicine Translational Research Immunology

About Abb Vie
Abb Vie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us  Follow @abbvie onLinked

In,Facebook,Instagram,Xand You Tube .

Company Description
About Abb Vie

Abb Vie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us  Follow @abbvie onLinked

In,Facebook,Instagram,Xand You Tube .

Job Description
The Precision Medicine Immunology department isseekinga highly motivated and talented Scientist with a background in immunology or immuno-oncology and experience in single-cell or spatial genomics, molecular biology, and cell biology to join the Translational Research team. This individual will provide leadership in clinical biomarker discovery by profiling clinical samples using single-cell and spatial omics approaches to better understand drug mechanism of action and pharmacodynamics, while driving data-informed patient selection strategies.

The role will support drug development programs across inflammatory and autoimmune disease areas, including Dermatology, Gastroenterology, Rheumatology, and Fibrosis, from late-stage discovery through clinical trials. The successful candidate will join a growing translational research group and collaborate with cross-functional teams both internally and externally.

Key Responsibilities

• Independently lead the design, execution, and analysis of complex genomic profiling experiments, including single-cell RNA-Seq, CITE-Seq, and spatial transcriptomics/proteomics.
• Perform image analysis tasks for spatial transcriptomics and proteomics datasets, including de-array and alignment for multi-omics integration, cellsegmentationand phenotyping.
• Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics.
• Proactivelyidentifytechnical artifacts, interpret quality control results,optimize assay performance, and ensure high quality and reproducible data delivery ontimelydeadlines.
• Stay at the forefront of the single-cell and spatial genomics field by surveying, evaluating,testingandvalidatingnovel scientific methodologies.
• Present work plans andacquireddata clearly and precisely to cross-functional stakeholders through formal written reports and verbal updates.

Qualifications

• Sr. I
  - Bachelors Degree or equivalent education and typically, 10 years of experience, Masters Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
• Sr. II
  - Major or advanced degree inbioinformatics,immunology, cell & molecular biology, pathology, or other relevant biological sciences. B.S. & typically 12+ years, M.S. & typically 10+ years, Ph.D., or equivalent & typically4+ years of relevant industrial biotechnology experience.
• Extensive experience designing and conducting single-cell and spatial omics studies to generate andvalidatecritical biomarker hypotheses.
• Broad technicalexpertisein molecular and cell biology assays, specifically specializing inscRNA-seq,andCITE-seq.
• Expertise in executing spatial omics experiments using
  
  CosMx, Xenium, and Visiumplatforms, integrated with deepexpertisein molecular pathology techniques such as IHC and ISH
• Proficient in the integrative analysis of multi-dimensional datasets using bioinformatics tools such as R and Python.
• Skilled in using advanced image analysis platforms, such as Visiopharmand HALO, to derive quantitative biological insights from tissue-based assays.
• Familiarity with cloud-based architectures (AWS) and high-performance computing (HPC) environments for processing large-scale genomic data.
• Experience applying machine learning frameworks and sophisticated data visualization tools to interpret complex biological patterns.
• Strong project leadership and organizational skills, with a demonstrated ability to prioritize tasks andallocateresources to meet aggressive timelines.
• Excellent presentation and people management skills, with a proven ability to communicate complex scientific data to diverse stakeholders and executive leadership.
• A robust track recordof scientific writing, ensuring high-quality documentation and verbal reporting of technical findings.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range…