Company Description
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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Job Description
AbbVie Precision Medicine Pathology organization is committed to driving tissue based translational and biomarker efforts for our pre-clinical and clinical stage programs. We are seeking a highly motivated ML/AI scientist to join our expanding computational pathology group to revolutionize digital pathology and precision medicine. Candidates for this senior position should have several years of experience in the field, a passion for research, and a track record of productivity and accomplishments. They should enjoy working in a fast-paced, dynamic and highly interactive environment. Their scientific leadership will enable them to independently and expertly guide teams in their approaches to quantitative image derived data generation and interpretation.
The ideal candidate will apply their expertise in computer vision and AI to analyze complex microscopy image and spatial-omics datasets, enabling breakthroughs in companion diagnostics, biomarker discovery, and personalized treatment strategies. As a computational pathology scientist, you will be embedded in our small but evolving organization that works closely with colleagues in the various pathology laboratories as well as with the research pathologists. You will provide scientific leadership to our team as you interface with investigators in discovery and late-stage research across our spectrum of disease areas which ranges from oncology, cancer immunotherapy, immunology, to neuroscience.

REQUIRED QUALIFICATIONS:

• Ph.D. in Computer Science, Electrical Engineering, Computational Biology, Bioinformatics, or related field with an emphasis on computer vision or machine learning with 6+ years of relevant industry experience; OR M.S. with 12+ years of relevant industry experience, OR BS with 14+ years of relevant industry experience.
• Demonstrated expertise in developing, validating, and deploying advanced computer vision and deep learning algorithms, evidenced by the successful release of products.
• Proficiency in programming with Python, C++, and experience using computer vision libraries such as OpenCV and ML frameworks like TensorFlow and PyTorch.
• Strong experience in image analysis and techniques such as segmentation, object detection, and classification, preferably in the field of digital pathology (e.g., histopathology or tissue imaging) and/or spatial omics.
• Experience with MLOps practices, including deployment, monitoring, and lifecycle management of machine learning models in production environments.
• Knowledge of cloud computing platforms and scalable AI/ML pipelines (e.g., AWS, Azure, GCP).
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Proven ability in scientific writing.
• Strong problem-solving skills and demonstrated creative approaches to overcoming challenges.
• Excellent organizational skills and the capability to manage multiple projects simultaneously.

PREFERRED QUALIFICATIONS:

• Experience handling large-scale heterogeneous biomedical data with a focus on image processing and associated clinical data integration.
• Experience with spatial omics datasets and integration of molecular data with image analysis.
• Understanding of precision medicine applications, including biomarker discovery, patient stratification, and personalized treatment strategies.
• Demonstrated desire and ability to learn, understand and master new techniques or technologies.
• Familiarity with cell and molecular biology concepts relevant to immunology, cancer immunotherapy, or oncology, or a strong willingness to learn about these areas.
  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.
• This job is eligible to participate in our long-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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• Lead the design, development, and deployment of state-of-the-art machine learning algorithms such as deep learning, representation learning, and self-supervised learning to solve key challenges in tissue image analysis, segmentation, and classification.
• Develop interpretable AI approaches by integrating attention mechanisms or explainable AI (XAI) techniques for clinical validation and adoption.
• Evaluate large-scale histopathology and spatial omics datasets to identify biomarkers that inform patient stratification and companion diagnostics.
• Collaborate cross-functionally with pathologists, biologists, statisticians, data analysts, and fellow scientists to ensure seamless integration of ML/AI solutions into workflows and pipelines.
• Manage external collaborations with research partners to enhance project outcomes and foster innovation.
• Mentor and guide junior AI scientists and engineers in the team, fostering a collaborative and innovative environment.
• Publish research findings in top-tier journals and conferences and present your work to internal and external stakeholders.
• Stay at the forefront of advancements in AI, computer vision, and digital pathology to continuously refine and expand the impact of your work.
  Qualifications