Postdoc Fellow - AI for Cancer Imaging & Spatial Omics

University of Houston; Houston (TX); Sur place; USD 55 000 - 75 000; Plein temps

Résumé du poste

The Spatial Artificial Intelligence Lab at the University of Houston is seeking a highly motivated Postdoctoral Fellow to join a growing research team. The research develops AI and machine-learning methods to advance biological and clinical discovery, with 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 directions, collaborate with biomedical

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.

Responsabilités

• 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.

Connaissances

Python

R

Communication skills

Formation

Ph.D. in Biomedical Informatics / Computational Biology / CS / Data Science / Biomedical Engineering

Description du poste

The Spatial Artificial Intelligence Lab at the University of Houston is seeking a highly motivated Postdoctoral Fellow to join a growing research team. The research develops AI and machine-learning methods to advance biological and clinical discovery, with 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 directions, collaborate with biomedical