Job description:
The Sun lab at the University of Minnesota is seeking a highly-motivated postdoc with a passion and perseverance for advancing cancer data science. The Sun Lab (https://ruping.github.io/) is located at the University of Minnesota on the Twin Cities campus. Our work stems from the rationale that one can quantify intra-tumor heterogeneity (ITH, or genomic diversity of cell populations) from patient tumor sequencing data and in turn, leverage the patterns of ITH to infer the mode (or the way) of clonal evolution in vivo. We strive to bridge ITH with mathematical modeling to delineate the roles of genomic aberrations in the development of patient tumors. For example, we are creating computational tools for yielding novel insights into the evolutionary trajectories and roles of somatic copy number aberrations during tumorigenesis (https://www.biorxiv.org/content/10.1101/2022.06.14.495959v1), and for connecting the genomic distance between longitudinal tumor samples with underlying evolutionary parameters through modeling (https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008838). We also maintain vigorous collaborations with experimental biologists, clinicians, and mathematical oncologists to maximize the impact of our work.
Example research topics are:
- Modeling of the copy number evolution and clonal evolution in cancer.
- Methods for quantifying and visualizing ITH from NGS data (including both bulk and single-cell sequencing);
Based on his/her training background, the person who holds this position will receive mentoring on different aspects that he/she would like to develop further and tailored training for career development. This includes but is not limited to grant writing, project design and management, and teaching skills. While the successful candidate is expected to get involved in the aforementioned research topics, his/her research interests will be encouraged and promoted under the general scope of the lab. For more information on the position, applicants may email Ruping Sun, Ph.D. (ruping@umn.edu).
All required qualifications must be documented on application materials.
Required:
- A doctoral degree in genetics, bioinformatics, computer science, biostatistics, biomedical engineering, industrial engineering, applied mathematics, biophysics, or other appropriate areas;
- Strong motivation in working in cancer genomics and modeling of clonal dynamics
- Script language programming skills (e.g., R, Matlab, Python, Julia);
- Written and verbal communication skills.
Preferred:
- Experience in cancer genomics, or
- Knowledge of models in stochastic processes, or
- Background in the study of population genetics, or
- Experience in the application of statistical learning
How To Apply
Applications must be submitted online. We invite you to visit our careers site to complete your application.
- Select the link (see below) to access our careers site at UMN.
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https://hr.myu.umn.edu/jobs/ext/352150
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https://hr.myu.umn.edu/jobs/int/352150
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
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About the University of Minnesota
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
