What You'll Do
Support multiple research studies by analyzing high-dimensional data, including next-generation sequencing outputs and clinical datasets. Perform data preprocessing, harmonization, and quality control to ensure accuracy and consistency across projects.
Develop and maintain computational workflows for processing biomedical data using established bioinformatics tools. Conduct analyses such as differential expression, clustering, and data visualization to uncover patterns and support biological interpretation.
Apply statistical methods—including mixed-effects and time-to-event models—to support disease progression studies. Collaborate with researchers to shape study designs, refine analytical approaches, and interpret findings.
Generate clear summaries, visualizations, and reports to communicate results to scientific teams. Contribute to methodological improvements by staying current with emerging techniques and tools in bioinformatics and data science.
Requirements
A bachelor’s degree in bioinformatics, computational biology, statistics, genomics, computer science, or a related quantitative field is required, along with at least one year of relevant experience. Equivalent combinations of education and experience may be considered.
Proficiency in scripting and statistical programming languages such as R or Python is essential. Experience analyzing large-scale bioinformatics datasets—including genomic and multi-omics data—is required.
Preferred Qualifications
Prior work in biomedical or clinical research settings, particularly involving genomics or health-related data, is highly valued. Familiarity with tools such as DESeq2, GATK, BWA, STAR, and TopHat enhances suitability for this role.
Benefits
The institution promotes a culture rooted in equity, respect, openness, and accountability. It is committed to building an inclusive environment where diverse perspectives are welcomed and valued.
There is a firm policy against discrimination based on age, race, color, disability, gender identity, sexual orientation, national origin, religion, veteran status, genetic information, or
