Associate Scientist II, Digital Pathology & Image Analysis

AbbVie; Worcester (MA); Presencial; USD 59 000 - 111 000; Tempo integral

Resumo da oferta

AbbVie is seeking an Associate Scientist II in Digital Pathology & Image Analysis to develop automated image analysis workflows for histopathology and spatial biology. The role focuses on ML/DL for cell phenotyping and biomarker quantification, with collaboration across pathologists, biologists, and data scientists.

The position is located in Worcester, MA, and involves deploying scalable pipelines, managing data workflows, and contributing to publications and presentations within a

Qualificações

• Bachelor's or Master’s degree in Computer Science, Data Science, AI, Biology or related field.
• Experience with digital pathology and image analysis platforms.

Responsabilidades

• Develop, validate, and deploy automated image analysis workflows for histopathology and spatial biology.
• Design machine learning/deep learning approaches for cell segmentation and biomarker quantification.
• Perform image registration and alignment for multi-modal imaging datasets.
• Develop Python scripts and automated pipelines for data processing.
• Configure and optimize scalable compute resources for high-throughput image processing.
• Integrate databases into a cohesive scalable system.
• Troubleshoot software issues and collaborate with engineers.
• Collaborate with pathologists, biologists, and data scientists.
• Present methods and results to scientific stakeholders.
• Maintain documentation and contribute to publications.

Conhecimentos

Python

Image analysis

Machine learning

Digital pathology

Data science

Biology background

Formação académica

Bachelor's or Master’s degree in Computer Science/Data Science/AI/Biology or related field

Ferramentas

Visiopharm

Halo

QuPath

ImageJ

AWS

GraphPad Prism

Spotfire

Excel

Descrição da oferta de emprego

Associate Scientist II, Digital Pathology & Image Analysis

• Full-time


• Salary Min: 58656


• Salary Max: 110500


• Workday Global Grade: 13


• Compensation: USD 58,656 - USD 110,500 - yearly

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.

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 fieldor 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.


• 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

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.


• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.


• This job is eligible toparticipatein our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company'ssoleandabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable 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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