Carnegie Mellon University is seeking a Research Assistant to support a project that integrates high-dimensional multi-omics data to explore molecular relationships underlying schizophrenia.
Requirements
- Experience in managing and analyzing large, high-dimensional datasets, particularly multi-omics or other complex biological data
- Proficiency in R programming, including modifying and developing statistical code, and familiarity with multivariate methods such as canonical correlation analysis are essential.
- Candidates should have a background in research, with skills in accurate documentation, literature review, and communication within a team
Responsibilities
- Process and clean multi-omics datasets (genomics, proteomics, etc.) related to schizophrenia research.
- Integrate multiple high-dimensional datasets using canonical correlation methods.
- Modify and adapt existing statistical methods (e.g., SGTCCA-NET) for the project’s needs.
- Develop and implement novel statistical approaches for multi-omics network analysis.
- Update and improve existing R code to incorporate methodological innovations.
- Prepare reports, manuscripts, and written deliverables.
- Collaborate and communicate effectively with the research team.
Other
- Associate's Degree or equivalent experience; Bachelor's Degree Preferred
- Flexibility, excellence, and passion are vital qualities within the Dietrich College.
- Consideration, collaboration, and cultural sensitivity are valued competencies at Carnegie Mellon.
- Able to optimally interact with a varied population of internal and external partners at a high level of integrity.
- Shares our values and will support the mission of the university through their work.
