Image Analysis Scientist - Digital Pathology & Histology

Labcorp; Genf; On-site; CHF 90,000 - 130,000; Full time

Job summary

Labcorp in Geneva seeks an Image Analysis Scientist to develop and validate digital pathology algorithms for histology, IHC, and multiplex imaging. You will work with pathologists and lab teams to translate clinical questions into measurable image analysis endpoints.

You will contribute to AI/ML integration in pathology workflows, design verification studies, and prepare validation reports in line with regulatory standards.

Qualifications

• A Bachelor’s or Master’s in Biomedical Image Analysis or related field is required.
• Strong analytical and communication skills are essential.
• Familiarity with image analysis workflows and clinical datasets is expected.

Responsibilities

• Develop, validate, and maintain digital image analysis algorithms for histology and related imaging applications.
• Collaborate with pathologists and lab teams to ensure technical accuracy and robust solutions.
• Support AI/ML integration within digital pathology workflows and document validation.
• Provide training on image analysis tools and workflows to internal teams.

Skills

Analytical thinking

Communication

Organisational skills

Education

Bachelor's or Master's degree in Biomedical Image Analysis, Bioinformatics, Computational Biology, Medical Imaging, Digital Pathology, Data Science, or related

Tools

Python

R

Job description

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

Job Responsibilities

• Develop, optimise, validate, and maintain digital image analysis algorithms for histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging applications.
• Translate scientific and clinical questions into measurable image analysis endpoints.
• Collaborate with pathologists and laboratory teams to ensure scientific accuracy and robust analytical solutions.
• Support the development and implementation of AI and machine learning approaches within digital pathology workflows.
• Design and execute verification and validation studies to ensure algorithm performance, reproducibility, and quality compliance.
• Prepare validation documentation, protocols, and reports in accordance with regulatory and quality requirements.
• Provide technical expertise and troubleshooting support for digital pathology platforms and image analysis systems.
• Deliver training and guidance to internal teams on image analysis tools and workflows.
• Drive continuous improvement initiatives across digital pathology and image analytics capabilities.
• Stay current with emerging technologies, industry developments, and scientific literature.

Minimum Qualifications

• Bachelor's or Master's degree in Biomedical Image Analysis, Bioinformatics, Computational Biology, Medical Imaging, Digital Pathology, Data Science, or a related scientific discipline.

Preferred Qualifications

• 3 years' experience within digital image analysis, computational pathology, medical imaging, or a related field.

Additional Job Standards

• Experience developing and validating image analysis algorithms for pathology or histology applications.
• Familiarity with digital pathology platforms such as HALO, Visiopharm, QuPath, ImageJ/Fiji, or similar tools.
• Knowledge of biomarker analysis, clinical trials, or companion diagnostics is highly desirable.
• Exposure to multiplex immunofluorescence image analysis workflows would be advantageous.
• Basic programming knowledge in Python and/or R.
• Strong analytical, problem-solving, and organisational skills.
• Excellent communication skills with the ability to explain complex scientific concepts to diverse audiences.

Labcorp is seeking an Image Analysis Scientist to join our Global Anatomic Pathology & Histology team in Geneva. This is an exciting opportunity to help advance digital pathology, computational imaging, and AI-driven biomarker analysis that supports clinical trials and cutting-edge translational research.

Working alongside pathologists, laboratory scientists, and multidisciplinary project teams, you will develop and validate image analysis solutions that drive scientific innovation and help bring new therapies to patients faster.

At Labcorp, you will work on innovative technologies that are transforming pathology and clinical research. You'll collaborate with global experts, contribute to impactful scientific programmes, and help expand the possibilities of AI-enabled healthcare solutions.

If you're passionate about digital pathology, image analytics, and applying science to improve patient outcomes, we'd love to hear from you.

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.

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