Assist PI and personnel in implementation of research programs and collaborations

• Develop and implement computational models for 3D tissue modeling using spatial molecular data, holotomography imaging, and other advanced imaging technologies.
• Analyze and integrate multi-modal spatial molecular and imaging datasets to build accurate representations of tissue microenvironments.
• Collaborate with experimental and clinical teams to refine and validate computational tissue models using real-world biological data.
• Contribute to scientific writing , including drafting and editing manuscripts, grant applications, technical reports, and research documentation.
• Generate high-quality illustrations and visualizations for research proposals, presentations, and publications.
• Assist in developing and implementing computational pipelines for analyzing large-scale spatial and imaging datasets.
• Manage data sharing, software tools, and computational resources across research teams and institutional collaborations.
• Facilitate collaboration and communication between the research center, investigators, and external partners to drive research progress.
  

Qualifications

• MS in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a related field.
• Experience in spatial molecular data analysis and computational tissue modeling.
• Proficiency in programming languages (Python, R, MATLAB, or equivalent) for bioinformatics and imaging data analysis.
• Strong background in image processing and analysis , preferably with experience in holotomography or other advanced imaging techniques.
• Familiarity with machine learning and AI techniques for biological data analysis is a plus.
• Strong scientific writing skills , with a track record of contributing to manuscripts and grant applications.
• Excellent organizational and project management skills , including experience managing collaborative research efforts.
• Strong oral communication skills , with the ability to present complex data effectively to interdisciplinary teams.