Image Analysis Scientist - Digital Pathology & Histology

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Image Analysis Scientist - Digital Pathology & Histology

Labcorp is seeking an Image Analysis Scientist - Digital Pathology & Histology to join our team in Shanghai, China.

This position will be responsible for developing, validating, and implementing digital image analysis algorithms to support biomarker assessment in clinical trial and advanced pathology services. The successful candidate will play a key role in expanding AI-enabled pathology capabilities and multiplex brightfield and immunofluorescence image analysis solutions.

Job Responsibilities:

• Digital Image Analysis Development

• • Develop, optimize, validate, and maintain image analysis algorithms for tissue-based assays, including immunohistochemistry (IHC), immunofluorescence (IF), multiplex immunofluorescence (mIF), and histology applications.
  • Collaborate with pathologists, laboratory scientists, and project teams to define image analysis requirements and ensure scientific accuracy.
  • Translate scientific and clinical questions into measurable image analysis endpoints.
  • Evaluate algorithm performance and conduct verification and validation studies to ensure robustness, reproducibility, and regulatory compliance.
  • Design and execute algorithm development strategies to support clinical trials, translational research, and/or future companion diagnostic studies.

• AI and Computational Pathology

• • Support the development and implementation of artificial intelligence (AI) and machine learning-based image analysis solutions.
  • Investigate and evaluate emerging digital pathology technologies and computational pathology approaches.
  • Contribute to the expansion of digital pathology and multiplex imaging capabilities within the organization.

• Validation and Quality Compliance

• • Prepare validation protocols, reports, and supporting documentation for image analysis algorithms and software platforms.
  • Ensure activities are performed in compliance with applicable SOPs, quality standards, client requirements, and regulatory expectations.
  • Support internal audits, client audits, and regulatory inspections as required.

• Technical Support and Troubleshooting

• • Serve as a subject matter expert for image analysis platforms and digital pathology workflows.
  • Investigate and resolve image analysis and software-related issues.
  • Work closely with vendors and internal stakeholders to troubleshoot and optimize system performance.

• Training and Collaboration

• • Develop training materials and provide training to laboratory personnel and project teams on image analysis systems and workflows.
  • Collaborate across global sites to harmonize image analysis methodologies and best practices.
  • Provide scientific consultation and technical expertise for client-facing projects.

• Process Improvement

• • Identify opportunities to improve image analysis workflows, automation, efficiency, and data quality.
  • Lead or participate in continuous improvement initiatives related to digital pathology and image analytics.
  • Stay current with industry trends, scientific literature, and emerging technologies in image analysis and digital pathology.

Minimum Qualifications:

• Bachelor's or Master's degree in Biomedical Image Analysis, Biomedical Science, Bioinformatics, Computational biology, Medical Imaging, Digital Pathology, Data Science, or a related scientific discipline.
• 3 years or more experience in digital image analysis, computational pathology, medical imaging, or a related field.

Preferred Qualifications:

• Experience developing and validating image analysis algorithms for pathology or histology applications.
• Familiarity with digital pathology platforms and image analysis software (e.g., HALO, Visiopharm, QuPath, ImageJ/Fiji , or equivalent).
• Experience supporting biomarker analysis, companion diagnostics, or clinical trial projects is highly preferred.
• Knowledge of multiplex immunofluorescence image analysis workflows is desirable.
• Experience with data visualization and statistical analysis.
• Experience with AI or machine learning applications in pathology is advantageous.
• Basic programming ability in Python or R.
• Strong written and verbal English communication skills.

Additional Job Standards:

• High level of attention to detail with strong analytical, organizational, and problem-solving skills.
• Ability to manage multiple projects and prioritize activities to meet timelines.
• Proficient with computer systems, data analysis tools, and digital image management platforms.
• Ability to work independently and collaboratively in a multidisciplinary environment.
• Demonstrated ability to communicate scientific concepts effectively to technical and non-technical audiences.
• Flexibility to work across global teams and accommodate business needs when required.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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