Johnson & Johnson Innovative Medicine R&D Data Science & Digital Health organization is recruiting for a Postdoctoral Scientist – AI/ML Bioimage Analysis to join the Data Science Analytics & Insights team to help advance AI/ML Analytics for Drug Discovery. This role can be based in: Zug (Switzerland), Beerse (Belgium), London (UK) and Hamburg / Berlin (Germany). This is a 2-year fixed term contract. With $81.6 billion in 2018 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world. The Data Science Analytics & Insights team within JNJ Innovative Medicine R&D Data Science & Digital Health organization develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML, Computer Vision, Integrative Bioimaging and Multi-omics Analysis, and Drug Discovery Key Responsibilities: + Conceive, develop, and implement AI/ML solutions applied to drug discovery problems, including but not limited to, processing and analysis of large-scale imaging and assay data (e.g. high content imaging, cryogenic electron microscopy, tissue imaging, and medical imaging), molecule property predictions, and AI-based optimization + Contribute to design of analysis plan and technical execution of a project, and execute end-to-end analyses, including progress reports and high-quality code documentation + Work closely with a cross disciplinary team of data and AI scientists, imaging experts, biologists, and computational chemists, and leverages cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with molecule development cycle + Extensive hands-on coding and actively contribute to platform development + Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals) **Qualifications** Qualifications Education: + Ph.D. in Electrical Engineering /Biomedical Engineering/Computer Science/Applied Mathematics/Bioinformatics or related majors Experience and Skills: + Strong technical expertise in AI / deep learning with excellent analytical skills in at least one domain area with proven track records (publication in top-tier journals, awards, patents, white papers) + Extensive, hands-on experience in AI/ML in related applications such as High-dimensional biomedical imaging/ Computer Vision/ Omics Analysis/ AI-based Drug Design/ and other related field. + Proficiency with one or more programming language, preferably Python. Proficiency in one or more AI framework such as Pytorch or Tensorflow + Good communication skills an able to present analytical results on behalf of the project team in a cross-functional setting, contextualizing how it fits within the broader project At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.