University of Kansas Medical Center
Research Assistant - Pathology
University of Kansas Medical Center, Kansas City, Kansas, United States, 66101
Research Assistant - Pathology
The Research Assistant position supports a cancer bioinformatics program focused on integrative analyses of transcriptomic, proteomic, and other multi-omics datasets. The role involves developing and applying computational methods to identify biomarkers and therapeutic targets relevant to cancer diagnosis, prognosis, and treatment response. Responsibilities include conducting high-throughput data analysis, building and maintaining analysis pipelines, generating visualizations and summaries, and collaborating closely with researchers across disciplines to interpret findings in a cancer research context. This position contributes to advancing data-driven approaches for understanding tumor biology and informing translational applications. Job Duties Outlined: Analyze high-throughput sequencing data (e.g. RNA-seq, mass-spectrometry proteomics, DNA-seq) from extracellular vesicles, cell-free nucleic acids from plasma, cell lines, organoids, and tissue samples for biomarker discovery. Preprocess, normalize, and integrate multi-omics datasets using computational pipelines and statistical methods. Develop and maintain scripts and tools in Python, R, or other relevant languages to automate analysis workflows. Work with clinical and molecular data from public repositories (e.g., TCGA, cBioPortal, GEO) and in-house datasets. Generate figures, plots, and summaries for reports, manuscripts, and presentations. Collaborate closely with biologists, pathologists, and clinicians to interpret data in a cancer research context. Document analysis procedures and maintain data integrity in accordance with institutional data policies. Participate in lab meetings, journal clubs, and research discussions. Interpret published scientific literature and apply established data analysis techniques. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications: Education: Bachelor's or Master's degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related field. Education may be substituted for experience on a year for year basis. Work Experience: Experience with bioinformatics tools and programming languages such as R, Python, and Julia. Interpret published scientific articles and utilize their established data analysis techniques. Experience with high-throughput sequencing data and standard bioinformatics pipelines. Experience with statistical analysis, data visualization, and reproducible research practices. Preferred Qualifications: Education: Master's degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related-field. Work Experience: Experience in cancer biology or oncology research and basic lab techniques Experience in molecular biology omics data analysis. Experience with tools such as edgeR, GSEA, or scRNA-seq pipelines Experience with cloud computing platforms or high-performance computing (HPC) environments Experience with machine learning applications in transcriptomics and proteomics. Experience with clinical data types such as electronic health records (EHR) or survival data. Skills: Attention to detail. Multitasking. Time management. Interpersonal skills. Communication. Data Analysis. Computer skills. Required Documents: Resume/CV Cover Letter Employee Type: Temporary (Fixed Term) Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above. Pay Range: $22.66 - $32.85 Minimum: $22.66 Midpoint: $27.75 Maximum: $32.85
The Research Assistant position supports a cancer bioinformatics program focused on integrative analyses of transcriptomic, proteomic, and other multi-omics datasets. The role involves developing and applying computational methods to identify biomarkers and therapeutic targets relevant to cancer diagnosis, prognosis, and treatment response. Responsibilities include conducting high-throughput data analysis, building and maintaining analysis pipelines, generating visualizations and summaries, and collaborating closely with researchers across disciplines to interpret findings in a cancer research context. This position contributes to advancing data-driven approaches for understanding tumor biology and informing translational applications. Job Duties Outlined: Analyze high-throughput sequencing data (e.g. RNA-seq, mass-spectrometry proteomics, DNA-seq) from extracellular vesicles, cell-free nucleic acids from plasma, cell lines, organoids, and tissue samples for biomarker discovery. Preprocess, normalize, and integrate multi-omics datasets using computational pipelines and statistical methods. Develop and maintain scripts and tools in Python, R, or other relevant languages to automate analysis workflows. Work with clinical and molecular data from public repositories (e.g., TCGA, cBioPortal, GEO) and in-house datasets. Generate figures, plots, and summaries for reports, manuscripts, and presentations. Collaborate closely with biologists, pathologists, and clinicians to interpret data in a cancer research context. Document analysis procedures and maintain data integrity in accordance with institutional data policies. Participate in lab meetings, journal clubs, and research discussions. Interpret published scientific literature and apply established data analysis techniques. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications: Education: Bachelor's or Master's degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related field. Education may be substituted for experience on a year for year basis. Work Experience: Experience with bioinformatics tools and programming languages such as R, Python, and Julia. Interpret published scientific articles and utilize their established data analysis techniques. Experience with high-throughput sequencing data and standard bioinformatics pipelines. Experience with statistical analysis, data visualization, and reproducible research practices. Preferred Qualifications: Education: Master's degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related-field. Work Experience: Experience in cancer biology or oncology research and basic lab techniques Experience in molecular biology omics data analysis. Experience with tools such as edgeR, GSEA, or scRNA-seq pipelines Experience with cloud computing platforms or high-performance computing (HPC) environments Experience with machine learning applications in transcriptomics and proteomics. Experience with clinical data types such as electronic health records (EHR) or survival data. Skills: Attention to detail. Multitasking. Time management. Interpersonal skills. Communication. Data Analysis. Computer skills. Required Documents: Resume/CV Cover Letter Employee Type: Temporary (Fixed Term) Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above. Pay Range: $22.66 - $32.85 Minimum: $22.66 Midpoint: $27.75 Maximum: $32.85