Research Scientist - Biomedical Informatics

The Ohio State UniversityColumbus, OH
Onsite

About The Position

We are seeking a highly innovative Research Scientist to lead the development of AI computational frameworks for modeling complex biological systems using large-scale single-cell and spatial multi-omics data. This position goes beyond conventional bioinformatics analysis and focuses on methodological innovation at the interface of AI, systems biology, and cancer research, including foundation models, graph-based learning, and mechanistic modeling. The successful candidate will drive independent research programs, develop novel computational methodologies, and contribute to high-impact publications and grant proposals.

Requirements

  • Ph.D. in Computational Biology, Mathematics, Computer Science, or a related field
  • Demonstrated ability to lead independent research projects beyond doctoral training, and evidence of leadership in collaborative research projects and contributions to grant development
  • Strong track record of methodological research and peer-reviewed publications
  • Postdoctoral research experience (typically >=3 years) or equivalent advanced research training
  • Substantial expertise in deep learning and foundation models, particularly graph representation models, as well as single-cell and spatial omics data analysis and algorithm/model development for biological systems

Responsibilities

  • Developing AI-based modeling frameworks to simulate complex cancer systems across multiple scales, and develop scalable and reusable computational frameworks and analytical pipelines for multi-omics and spatial data analysis.
  • Ability to construct computational models for senescence and aging dynamics using multi-scale and data-driven approaches.
  • Advanced capability in multi-modal data integration and representation learning across heterogeneous biological datasets.
  • Experience in designing algorithms that leverage single-cell and multi-omics data to guide precision therapeutics, and link molecular mechanisms to phenotypic outcomes (e.g., metastasis, immunotherapy response).
  • Lead independent and collaborative research programs from conception to publication, driving end-to-end project execution.
  • Define scientific questions and computational strategies in collaboration with experimental and clinical teams.
  • Contribute to shaping the long-term computational research direction and scientific vision of the group.
  • Contribute to grant writing (e.g., NIH, NSF), including methodological design, hypothesis development, and preliminary data generation.
  • Mentor junior trainees in computational biology and AI methods.

Benefits

  • Medical, dental and vision coverage, with Ohio State paying a significant portion of the cost.
  • Paid time off, including sick and vacation time and 11 holidays.
  • State retirement plan or an alternative retirement plan, both with generous employer contributions.
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