Trainee Process Simulation Jobs Near Me

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.
Current Employees and Students:
If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.
Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

• Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.
• Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Job Title:
Research Scientist - Biomedical Informatics
Department:
Medicine | School Biomed Sci - Biomedical Informatics
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.
Key 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.
Required Qualifications

• 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

Application Instructions
Interested candidates should submit an application including a cover letter, resume, and contact information for three professional references through Workday.
Additional Information:
Location:
Pelotonia Research Center (1040)
Position Type:
Regular
Scheduled Hours:
40
Shift:
First Shift
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.