Principal Scientist I, Computational Pathology, Precision Medicine Pathology
SOUTH SAN FRANCISCO, CAPosted 19 days ago
Job summary
Job post source
This job is directly from AbbVie
Job overview
The Principal Scientist I in Computational Pathology at AbbVie leads AI-driven digital pathology research to advance precision medicine and biomarker discovery across multiple disease areas.
Responsibilities and impact
The role involves designing and deploying advanced machine learning algorithms for tissue image analysis, collaborating with cross-functional teams, managing external research partnerships, mentoring junior scientists, and publishing research findings.
Compensation and benefits
The position offers a comprehensive benefits package including paid time off, medical/dental/vision insurance, 401(k), and eligibility for short- and long-term incentive programs with compensation varying by location and experience.
Experience and skills
Candidates must have a Ph.D. or equivalent experience with strong expertise in computer vision, deep learning, programming in Python and C++, experience with digital pathology image analysis, MLOps, cloud platforms, and excellent communication skills; preferred qualifications include experience with spatial omics and precision medicine applications.
Career development
The role provides opportunities to stay at the forefront of AI and digital pathology advancements, lead innovative projects, and contribute to high-impact translational research within a dynamic team environment.
Work environment and culture
AbbVie fosters an innovative, fast-paced, and collaborative work environment focused on integrity, innovation, and community service.
Company information
AbbVie is a global biopharmaceutical company focused on innovative medicines across immunology, oncology, neuroscience, and eye care, with a strong commitment to addressing serious health issues and advancing precision medicine.
Team overview
The candidate will join a small but growing computational pathology group working closely with pathology labs and research pathologists across diverse disease areas.
Unique job features
The position uniquely integrates cutting-edge AI techniques with translational tissue-based research, offering leadership in deploying interpretable AI for clinical adoption and collaboration across multiple scientific disciplines.
Company overview
AbbVie is a global biopharmaceutical company that focuses on discovering, developing, and delivering innovative medicines in areas such as immunology, oncology, virology, and neuroscience. The company generates revenue primarily through the sale of its proprietary drugs, including blockbuster treatments like Humira, Imbruvica, and Rinvoq. Founded in 2013 as a spin-off from Abbott Laboratories, AbbVie has a strong history of strategic acquisitions and partnerships to bolster its research and development capabilities and expand its product portfolio.
How to land this job
Position your resume to highlight extensive experience in machine learning, computer vision, and AI applications specifically within digital pathology and spatial-omics, emphasizing your leadership in developing and deploying advanced algorithms for tissue image analysis.
Emphasize your proficiency in Python, C++, and ML frameworks like TensorFlow and PyTorch, along with experience in MLOps and cloud platforms such as AWS or Azure, to demonstrate your capability in managing scalable AI/ML pipelines and production environments.
Apply through multiple channels including AbbVie’s corporate careers page, LinkedIn job postings, and specialized biomedical job boards to maximize your visibility and chances of being noticed.
Connect with current employees in the Precision Medicine Pathology division on LinkedIn, using ice breakers like commenting on recent publications or expressing genuine interest in their work on biomarker discovery and AI integration in pathology workflows.
Optimize your resume for ATS by incorporating keywords from the job description such as 'deep learning,' 'computer vision,' 'spatial omics,' 'biomarker discovery,' and 'MLOps,' ensuring your resume passes initial automated screenings.
Use Jennie Johnson’s Power Apply feature to automate the tailoring of your resume, identify the best application portals, and find relevant LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and advancing your career.
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