Post Doctoral Fellow - Computational Medicine

testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed action. 7. May receive general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Additional Posting Information: Specialized focus on AI, machine learning, and computational biology, particularly on integrating biomedical imaging, single-cell and spatial omics, and clinical data to advance cancer research and precision medicine. Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills. -Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility. -Recommends changes in research, testing or experimental procedures. -May be responsible for a single highly technical and complex piece of research equipment. -May review and evaluate the effectiveness of personnel. -May plan for and assign personnel to projects under control. -Operates with latitude for unreviewed action. -May receive general supervision conferring with higher levels only in unusual situations. -Performs other job-related duties as required. Position Summary: The Spatial Artificial Intelligence Lab at the University of Houston is seeking a highly motivated Postdoctoral Fellow to join our newly established and growing research team. Our research develops AI and machine-learning methods to advance biological and clinical discovery, with particular interests in single-cell and spatial biology, biomedical imaging, and cancer research. The successful candidate will have opportunities to lead interdisciplinary research projects, develop independent research directions, collaborate with biomedical and clinical investigators, and contribute to high-impact publications and grant proposals. More information about the laboratory and current research can be found at https://zheng-lab.org/ Research Areas: Our research aims to develop and deploy novel computational frameworks that integrate digital pathology, spatial and single-cell omics, genomics, and clinical data to model tissue architectures and signaling environments in health and disease, with the overarching goal of uncovering mechanisms underlying treatment resistance and advancing precision medicine. Responsibilities: -Develop and apply bioinformatics, machine learning and deep-learning methods to extract biologically and clinically relevant insights from multimodal biomedical datasets. -Design, develop and maintain computational pipelines to analyze large-scale biomedical data including digital pathology images, spatial transcriptomics, single-cell data, genomics, and clinical data. -Conduct research related to tissue characterization, feature extraction, tumor immune microenvironments and precision oncology. -Design and execute computational experiments and perform rigorous statistical analyses. -Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences. -Collaborate with investigators across computational science, biology, pathology, and medicine. -Contribute to the development of research proposals and grant applications. -Assist with mentoring graduate and undergraduate researchers. -Participate in laboratory meetings and contribute to the development of a collaborative and supportive research environment. Minimum Qualifications: -A Ph.D. or equivalent doctoral degree in Bioinformatics, Computational Biology, Computer Science, Data Science, Biomedical Engineering, or a closely related discipline by the anticipated start date. -Strong quantitative and computational research training. -Proficiency in programming languages commonly used for scientific computing, such as Python and/or R. -Experience conducting independent research and communicating research findings. -Strong written and oral communication skills. -The ability to work effectively both independently and as part of an interdisciplinary research team. Preferred Qualifications: -Experience in one or more of the following areas is preferred: -Machine learning or deep learning. -Foundation models, representation learning, or multimodal learning. -Computational pathology or medical image analysis. -Single-cell or spatial transcriptomics. -Genomics or computational biology. -Tumor immunology or cancer research. -Development of reproducible computational pipelines or research software. Application Instructions: Applicants should submit the following materials via email to yzheng35@uh.edu : -Curriculum vitae (CV); -A cover letter describing their research experience, technical background, and long-term career goals; -Contact information for two or three references, including their relationship to the applicant. Why Join Us: -Access to state-of-the-art computational resources and high-performance computing infrastructure; -Opportunities for working with an interdisciplinary team in a highly collaborative environment; -Close collaboration with researchers across pathology, clinical medicine, biology and engineers. -Structured mentoring and accessible support for research, manuscript preparation, and presentations; -Support for fellowship and career development award applications and preparation for future academic, research, or industry careers. -All positions at the University of Houston-System are security sensitive and will require a criminal history check. The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply. MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed.Experience: No experience is required. All positions at the University of Houston-System are security sensitive and will require a criminal history check. The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.