Post Doctoral Fellow - Computational Medicine - (497162 )

Department : Electrical Engineering Salary : Commensurate with Experience/Education 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. 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 researchdevelops AI and machine-learning methods to advance biological andclinical discovery, with particular interests in single-cell andspatial biology, biomedical imaging, and cancer research. The successful candidate will have opportunities to leadinterdisciplinary research projects, develop independent researchdirections, collaborate with biomedical and clinical investigators,and contribute to high-impact publications and grantproposals. More information about the laboratory and current research can befound at Research Areas Our research aims to develop and deploy novel computationalframeworks that integrate digital pathology, spatial andsingle-cell omics, genomics, and clinical data to model tissuearchitectures and signaling environments in health and disease,with the overarching goal of uncovering mechanisms underlyingtreatment resistance and advancing precision medicine. Responsibilities Develop and apply bioinformatics, machine learning anddeep-learning methods to extract biologically and clinicallyrelevant insights from multimodal biomedical datasets. Design, develop and maintain computational pipelines to analyzelarge-scale biomedical data including digital pathology images,spatial transcriptomics, single-cell data, genomics, and clinicaldata. Conduct research related to tissue characterization, featureextraction, tumor immune microenvironments and precisiononcology. Design and execute computational experiments and perform rigorousstatistical analyses. Prepare manuscripts for publication in peer-reviewed journals andpresent findings at scientific conferences. Collaborate with investigators across computational science,biology, pathology, and medicine. Contribute to the development of research proposals and grantapplications. Assist with mentoring graduate and undergraduateresearchers. Participate in laboratory meetings and contribute to thedevelopment of a collaborative and supportive researchenvironment. Minimum Qualifications A Ph.D. or equivalent doctoral degree in Bioinformatics,Computational Biology, Computer Science, Data Science, BiomedicalEngineering, or a closely related discipline by the anticipatedstart date. Strong quantitative and computational research training. Proficiency in programming languages commonly used for scientificcomputing, such as Python and/or R. Experience conducting independent research and communicatingresearch findings. Strong written and oral communication skills. The ability to work effectively both independently and as part ofan interdisciplinary research team. Preferred Qualifications Experience in one or more of the following areas ispreferred: Machine learning or deep learning. Foundation models, representation learning, or multimodallearning. 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 researchsoftware. Why Join Us Access to state-of-the-art computational resources andhigh-performance computing infrastructure; Opportunities for working with an interdisciplinary team in ahighly collaborative environment; Close collaboration with researchers across pathology, clinicalmedicine, biology and engineers.; Structured mentoring and accessible support for research,manuscript preparation, and presentations; Support for fellowship and career development award applicationsand preparation for future academic, research, or industrycareers.; All positions at the University of Houston-System are securitysensitive and will require a criminal history check. All positions at the University of Houston-System are securitysensitive and will require a criminal history check. The University of Houston System and its universities are EqualOpportunity Institutions. Everyone is encouraged to apply. MQ: Requires singular knowledge of a specialized advancedprofessional discipline or the highest level of general businessknowledge, normally acquired through attainment of a directlyjob-related terminal degree or equivalent formal training in arecognized field of specialization that is directly related to thetype of work being performed.Experience: No experience isrequired. All positions at the University of Houston-System are securitysensitive and will require a criminal history check. The University of Houston System and its universities are EqualOpportunity Institutions. Everyone is encouraged to apply. #J-18808-Ljbffr University of Houston