Sr Scientist, Quantitative Bioimaging

We are seeking a Senior Scientist to advance quantitative bioimaging capabilities in support of immunology discovery this role you will work within a cross-functional team with access to multiple microscopy modalities complex in vitro models multimodal biological datasets and advanced computational infrastructure. You will develop and apply quantitative imaging and machine-learning approaches to characterize cellular and tissue phenotypes support the development of complex in vitro models and generate insights that advance immunology discovery programs. The role sits at the intersection of biology bioengineering microscopy and computational science; candidates who have combined expertise in two or more of these areas are especially encouraged to apply. This position is onsite in Worcester Massachusetts.

Key Responsibilities

• Develop optimize and apply imaging assays and quantitative image-analysis workflows for 2D and 3D cellular and tissue models across multiple microscopy platforms.
• Collaborate with wet-lab assay scientists imaging specialists and computational scientists from experimental design through image acquisition analysis and data delivery.
• Design and implement reproducible computer-vision and machine-learning pipelines for image segmentation object detection feature extraction phenotypic profiling and representation learning.
• Extract biologically meaningful multiparametric features from high-content imaging datasets and use them to characterize disease-relevant phenotypes mechanisms and treatment responses.
• Establish practical quality-control and evaluation frameworks that assess image and assay quality distinguish biological signal from technical artifacts and define appropriate limitations and acceptance criteria.
• Apply statistical machine-learning and deep-learning methods to identify candidate imaging biomarkers and relate imaging phenotypes to molecular functional and other biological readouts.
• Maintain clear experimental and analytical records; analyze visualize and present results rigorously to both technical and nontechnical audiences.
• Stay current with advances in quantitative bioimaging image analysis computer vision and foundation models for biological imaging and evaluate opportunities to incorporate relevant approaches into team workflows.

Qualifications :

Basic Qualifications

• BS MS or PhD in engineering biophysics computational biology imaging science or a related discipline with typically 10-12 (BS) 8-10 (MS) or 0-4 (PhD) years experience.
• Demonstrated experience with microscopy high-content imaging quantitative image analysis or phenotypic in vitro assay development.
• Experience working with at least one relevant imaging modality or assay type such as confocal high-content imaging or cell painting. Candidates should be able to assess image quality recognize common artifacts and interpret biologically meaningful phenotypes.
• Working knowledge of machine-learning or deep-learning approaches for biological imaging with the ability to understand model behavior assess performance and contribute to appropriate evaluation strategies.
• Proficiency with the Python data-science ecosystem including NumPy pandas Polars scikit-learn and/or PyTorch.
• Strong biological grounding attention to experimental rigor and demonstrated ability to collaborate effectively with wet-lab and computational colleagues.
• Excellent written verbal and presentation skills including the ability to explain methods results assumptions and limitations to diverse audiences.

Preferred Qualifications

• Familiarity with complex in vitro models such as organoids organ-on-chip models and other advanced in vitro model platforms.
• Familiarity with image-based profiling dimensionality-reduction methods clustering morphological feature analysis or phenotypic similarity analysis.
• Peer-reviewed publications patents conference presentations or other demonstrated scientific contributions in quantitative bioimaging computer vision computational biology bioengineering or a related field.

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 program. 
• This job may be eligible to participate in our long-term incentive program. 

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