Associate Scientist II, Digital Pathology & Image Analysis

Company Description

About AbbVie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at  www.abbvie.com . Follow @abbvie on  LinkedIn,   Facebook ,  Instagram ,  X  and  YouTube.

Job Description

The AbbVie Immunology Discovery pathology group is at the forefront of Artificial Intelligence driven digital pathology and committed to establishing quantitative and translational pathology end points to drive drug discovery research.

We seek an innovative and highly motivated research scientist with expertise spanning digital pathology, image analysis, machine learning, artificial intelligence and scientific programming. The successful candidate will develop and deploy image analysis solutions to support quantitative pathology, spatial biology, and multi-modal omics studies.

The scientist will work closely with pathologists, biologists, and data scientists to build scalable workflows for the analysis, integration, and management of large imaging datasets, including histology, multiplex immunofluorescence (mIF), spatial transcriptomics, and other emerging imaging technologies.

This position is located in Worcester, MA.

Responsibilities

Develop, validate, and deploy automated image analysis workflows for histopathology and spatial biology applications, using image analysis platforms (e.g. Visiopharm, Qupath)

Design machine learning and deep learning approaches for cell segmentation, cell phenotyping, biomarker quantification, and spatial analysis. Employ appropriate validation methods for evaluating model performance

Perform image registration, de-arraying, and alignment for multi-modal imaging datasets.

Develop custom scripts, and automated pipelines using Python and related scientific computing libraries.

Configure, monitor, and optimize scalable compute resources for high-throughput image processing.

Architect and integrate multiple databases into a cohesive, scalable system, leveraging a strong understanding of database infrastructure.

Troubleshoot complex software issues and collaborate directly with third-party software engineers to develop novel, tailored solutions

Collaborate with multidisciplinary teams including pathologists, biologists, bioinformaticians, and computational scientists.

Present analytical methods, results, and recommendations to scientific stakeholders.

Maintain accurate documentation of workflows, algorithms, and study results.

Contribute to publications, conference presentations, and scientific innovation initiatives.

Qualifications

Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, Biology or related field, or equivalent education, with typically 3 or more years’ experience or Master’s Degree in Computer Science, Data Science, Artificial Intelligence, Biology or related field or equivalent education (no additional experience).

Experience in the pharmaceutical industry is preferred.

Demonstrated experience in digital pathology and image analysis platforms (Visiopharm, Halo, QuPath, Image J), plus a deep understanding of image analysis core concepts, including image processing and machine learning.

Strong proficiency in Python and associated scientific computing libraries (NumPy, Pandas, SciPy, Scikit-learn, or similar).

Working knowledge of cloud computing platforms (AWS), scalable computational workflows and database infrastructure

Proficiency in the use of third-party software tools to support data analysis tasks (e.g., GraphPad Prism, Spotfire, Excel).

Strong problem-solving, communication, documentation and collaboration skills.

Desirable

Knowledge of molecular pathology techniques (e.g., immunohistochemistry, immunofluorescence, in situ hybridization etc.).

Experience with spatial transcriptomics images and multiplexed IF images

A foundation in biology or immunology is highly desirable, to support the development and interpretation of image analysis solutions for translational research

Additional Information

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 location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

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