Senior Scientist II, Informatics

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

We seek a talented and highly motivated Data Scientist with experience in image analysis to join our expanding Spatialomics team within the Discovery Immunology Pathology group. In this role, you will develop and apply computational methods to image-based spatial transcriptomics and proteomics datasets, including the integration and interpretation of multi-modal omics data in order to derive biological insights into disease pathogenesis and identify novel therapeutic targets.

The successful candidate will be part of a unique multidisciplinary team working closely with pathologists, image analysts, and research scientists across the organization in a highly dynamic and collaborative environment to support pathology driven spatial omics projects that contribute to innovative drug discovery research.

This position is an onsite role located in Worcester, MA.

• Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics (mIF, IMC).
• Collaborate with pathologists to develop methods to integrate and analyze spatial transcriptomics data with other spatial modalities, such as IHC or mIF.
• Perform image analysis tasks for spatial transcriptomics and proteomics datasets, including de-array and alignment for multi-omics integration, cell segmentation and phenotyping.
• Collaborate with pathologists to validate computational tools for spatial data analysis in the context of tissue structure to ensure accuracy and reproducibility.
• Ensure scalability and efficiency of the pipelines to handle large and complex datasets.
• Lead the development of user‑friendly data visualization tools to effectively communicate findings to both technical and non‑technical stakeholders.
• Stay current with emerging trends and technologies in multi‑modal spatial data analysis.
• Articulate analytic approach, generate concise reports and accurately document project methods, algorithms and results in electronic laboratory notebook.

• Bachelor’s Degree with 12 years of experience, Master’s Degree with 10 years of experience, PhD with 4 years of experience in Computational Biology, Bioinformatics, Systems Biology, or a related field. Background in Immunology or experience in the pharmaceutical industry preferred.
• Strong proficiency in programming languages (such as Python, R, or MATLAB) and bioinformatics tools and analysis platforms, especially those pertinent to spatialomics (such as Squidpy, Scanpy, Spatial Data, Seurat and Bioturing).
• Excellent analytical, problem‑solving, and communication skills, including the ability to contribute to collaborative projects and explain technical concepts to interdisciplinary teams.
• Ability to work independently and as part of a team, managing multiple projects simultaneously.

• Knowledge of molecular pathology techniques (IHC, mIF, ISH) and familiarity with digital pathology platforms for image analysis (Visopharm and Qupath).
• Experience with machine learning frameworks and data visualization tools.
• Familiarity with cloud‑based (AWS) and high‑performance computing environments.

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

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic…