Image Analysis Scientist - Digital Pathology & Histology in Genève

pLabcorp 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. /ppImage Analysis Scientist - Digital Pathology Histology /ppLabcorp is seeking an Image Analysis Scientist to join our Global Anatomic Pathology Histology team in Geneva. /ph3Job Responsibilities /h3ulliDevelop, optimise, validate, and maintain digital image analysis algorithms for histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging applications. /liliTranslate scientific and clinical questions into measurable image analysis endpoints. /liliCollaborate with pathologists and laboratory teams to ensure scientific accuracy and robust analytical solutions. /liliSupport the development and implementation of AI and machine learning approaches within digital pathology workflows. /liliDesign and execute verification and validation studies to ensure algorithm performance, reproducibility, and quality compliance. /liliPrepare validation documentation, protocols, and reports in accordance with regulatory and quality requirements. /liliProvide technical expertise and troubleshooting support for digital pathology platforms and image analysis systems. /liliDeliver training and guidance to internal teams on image analysis tools and workflows. /liliDrive continuous improvement initiatives across digital pathology and image analytics capabilities. /liliStay current with emerging technologies, industry developments, and scientific literature. /li /ulh3Minimum Qualifications /h3ulliBachelor's or Master's degree in Biomedical Image Analysis, Bioinformatics, Computational Biology, Medical Imaging, Digital Pathology, Data Science, or a related scientific discipline. /li /ulh3Preferred Qualifications /h3ulli3 years' experience within digital image analysis, computational pathology, medical imaging, or a related field. /liliAdditional Job Standards Experience developing and validating image analysis algorithms for pathology or histology applications. /liliFamiliarity with digital pathology platforms such as HALO, Visiopharm, QuPath, ImageJ/Fiji, or similar tools. /liliKnowledge of biomarker analysis, clinical trials, or companion diagnostics is highly desirable. /liliExposure to multiplex immunofluorescence image analysis workflows would be advantageous. /liliBasic programming knowledge in Python and/or R. /liliStrong analytical, problem-solving, and organisational skills. /liliExcellent communication skills with the ability to explain complex scientific concepts to diverse audiences. /li /ulpLabcorp 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. /ppLabcorp 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. /ppWe encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. /ppFor more information about how we collect and store your personal data, please see our Privacy Statement. /ppWe believe in the power of science to change lives. Labcorp is a leading global life sciences company that provides vital information to help doctors, hospitals, pharmaceutical companies, researchers, and patients make clear and confident decisions. Through our unparalleled diagnostics and drug development capabilities, we provide insights and accelerate innovations to improve health and improve lives. Here, you can join our nearly 70,000 employees, serving clients in more than 100 countries, as we work together to transform approaches to patient care. /p #J-18808-Ljbffr