Associate Scientist, Informatics II

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 :

• Bachelors Degree in Computer Science Data Science Artificial Intelligence Biology or related field or equivalent education with typically 3 or more years experience or Masters 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 Companys sole and absolute discretion unless and until paid and may be modified at the Companys 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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Work :

No

Employment Type :

Full-time