The Zhao laboratory focuses on translating high-throughput molecular data into biological insights and clinical biomarkers for cancer. We primarily generate and analyze NGS data from cancer samples. You will be responsible for designing and executing complex integrated computational research projects. This will include creating and maintaining computational pipelines for a wide variety of NGS data. You will also work closely with lab members on a variety of exciting and high-impact projects and will have the freedom and autonomy to lead independent research projects. In addition, you will have the opportunity to work with and learn from a multi-disciplinary group of collaborators including clinicians, laboratory scientists, bio-informaticians, and bio-statisticians from around the country to grow your network and skillset. We look forward to working together with you to improve outcomes for patients with cancer.
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.
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background – people who as students, faculty, and staff serve Wisconsin and the world.
For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Bachelors degree in bioinformatics or related field.
Masters or PhD degree in bioinformatics or related field.
– If Bachelors, at least 1 year bioinformatics work experience.
– Experience in R, Python, and Linux command line.
– Experience in processing Next-gen sequencing data.
– Basic background in statistics (e.g. standard statistical tests, simple regression models).
– Publications relevant to omics data analysis.
– Experience with DNA sequencing processing pipelines & data analysis.
– Experience with RNAseq processing pipelines & data analysis.
– Experience with microarray processing pipelines & data analysis.
– Experience with ChIP-seq processing pipelines & data analysis.
– Experience with methylation data analysis.
– Experience with clinical data analysis.
– Experience with public databases such as TCGA, CCLE, GDSC, etc.
– Experience with classical machine learning algorithms.
– Demonstrated ability to work collaboratively and in a team-oriented environment.
– Evidence of strong organizational and professional writing skills.
– Ability to prioritize multiple tasks and assignments.
– Excellent written and oral communication and public presentation skills.
– Attention to detail.