University of Wisconsin - Madison

Position Vacancy Listing

PVL # 228105

Position Summary:
The Computational Biologist Researcher will provide technical expertise to fundamental and/or applied scientific research working with genomics and next-generation sequencing data analysis under the direction of the principal investigator. The successful candidate will conduct integrated bioinformatics analysis of genomics data (transcriptomes, epigenomes and single-cell assays) and high-dimensional flow cytometry (CyTOF, Aurora Cytek) in collaboration with experimental scientists. The candidate will also have opportunities to develop new bioinformatics methods and pipelines as independent projects to answer the scientific questions in the field of cancer immunology.

The Dinh lab ( is passinate about studying the question of how the tumor microenvironment changes during cancer progression, before and after treatment. We follow systems and computational biology approaches leveraging high-dimensional data from multi-omics genome-wide (genomics and epigenomics) and single-cell assays. We develop and employ computational biology methods to mine publicly available data and in-house generated data for the specific questions we ask. We are a multi-disciplinary team and a part of the Department of Oncology/McArdle Laboratory for Cancer Research and the Department of Biostatistics and Biomedical Informatics (BMI).

The School of Medicine and Public Health has a deep and profound commitment to diversity both as an end in itself but also as a valuable means for eliminating health disparities. As such, we strongly encourage applications from candidates who foster and promote the values of diversity and inclusion.

Principal duties:
40% Collects and analyzes basic research data, conducts experiments and interviews, and documents results according to established policies and procedures

20% Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities and assists with publications

10% Trains individuals and groups on equipment operations, research protocols, and techniques within a specialized laboratory or research area

30% Assists with the development of research methodologies and procedures

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