A Postdoctoral Research Fellow position is available in the Biomedical Data Research Lab, Knight Cancer Institute at Oregon Health & Science University (https://www.bdrl.org/home, PI: Chi Zhang, Sha Cao). We are looking for a highly motivated, recently graduated PhD in Computer Science, Computational Biology, Bioinformatics or related area to study metabolic variations using genomics and other multiple omics data.

 

The Knight Cancer Institute at Oregon Health & Science University (OHSU) is recognized as a leading center for comprehensive cancer care, pioneering translational cancer research, and advanced professional training in oncology. Research at the Knight Cancer Institute aims to enhance patient outcomes by enabling earlier detection of cancer, more precise monitoring of disease progression, and the development of personalized therapies targeting the molecular underpinnings of cancer. The selected candidate will participate in NIH-/NSF-/OHSU-funded studies.

 

This is a 1-year grant-funded position, with the opportunity of appointment extension. Previous experience in computational biological and programing is required. Experience in computational biology, genomics data analysis and hypothesis driven research will be important skills used in this position. Prior experience with bioinformatics, preferably with the processing and downstream analysis of “omics” data are encouraged to apply.

 

The primary responsibility of this role will be to develop innovative computational methods to uncover complex regulatory mechanisms and druggable targets from large-scale transcriptomic and metabolic profiles of single cells.

Hypothesis Driven Biomedical Omics Data Analysis:

• Identify biological hypothesis in studying basic/translational questions of cancer biology, metabolic variations in diseases, and immunometabolism systems.
• Modeling biological questions into computational tasks.
• Analyze high-dimensional and multi-omics datasets to extract meaningful insights and identify patterns relevant to biological processes and disease mechanisms.
• Utilize advanced statistical methods and computational techniques to manage and interpret large-scale data.

Algorithm and computational methods/pipeline Development:

• Develop and implement novel algorithms using machine learning and AI techniques to address complex computational challenges in bioinformatics.
• Create and refine optimizers to enhance the performance and accuracy of computational models.

Interdisciplinary Collaboration:

• Collaborate with biologists, bioinformaticians, and other researchers to translate.

Other duties as assigned.

• PhD in Computational Biology/ Bioinformatics, Biomedical Engineering, Computer Science or related field.
• Background and experience in computational biology, especially in cancer bioinformatics and metabolic network construction.
• At least one published or in revision 1st author manuscript in a peer-reviewed English language journal.
• Good communication skills with a command of the English language.
• Ability to work independently and as part of a team while being collaborative in resolving problems.
• Must possess energy and drive to coordinate multiple projects simultaneously.

• Experience in integrating dry/wet lab technologies to conduct hypothesis driven research.

Work is generally 40 hours per week during normal working hours; however, some evening and weekend work will be expected when the postdoc has hard paper/abstract/grant submission deadlines.

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.