美國匹茲堡大學醫學院及癌症中心-徵求生物資訊博士後研究員

Multiple Post Doctoral Associate positions in bioinformatics are available in the laboratory of Dr. Yu-Chiao Chiu at the Department of Medicine, Division of Hematology/Oncology and UPMC Hillman Cancer Center at the University of Pittsburgh. The candidates will engage in bioinformatics research to systematically understand the biology of adult and pediatric cancers, to identify diagnostic and prognostic biomarkers, and to improve cancer therapy. The candidates will work on high-throughput genomic and pharmacogenomic datasets generated at the bulk and single-cell levels. At the UPMC Hillman Cancer Center, the candidates will have the opportunity to build cross-disciplinary collaborations with clinical, translational, and basic scientists in order to bridge cutting-edge computational algorithms to unmet needs in precision oncology.

We are seeking highly motivated and enthusiastic candidates who have recently earned a Ph.D. degree in bioinformatics, computational biology, biomedical/electrical engineering, computer science, or a related field. Strong experience in computational modeling of biological systems, large-scale cancer multi-omic datasets (TCGA, TARGET, CCLE, etc.), high-throughput drug and genetic screens (DepMap, GDSC, etc.), and common bioinformatics resources (NCBI, UCSC, Ensembl, etc.) is essential. Experience in deep learning, machine learning, single-cell and spatial omics, and image processing is highly desirable. The candidate must be proficient with Linux and multiple bioinformatics programming languages, such as R, Python, MATLAB, and Perl. The candidates must possess excellent written and verbal English communication skills.

The Chiu Lab focuses on the development of state-of-the-art machine and deep learning models that integrate large genomic and pharmacogenomic data to study cancer biology and improve cancer therapy. Our latest publications are well-recognized by the broad cancer and bioinformatics communities: Science Advances (doi:10.1126/sciadv.abh1275; highlighted by @NCIgenomics as the #1 favorite paper of 2021), BMC Medical Genomics (doi:10.1186/s12920-018-0460-9; selected as Springer Nature Research Highlights in Genetics of 2019), and Briefings in Bioinformatics (doi:10.1093/bib/bbz144). Our ongoing NIH/NCI supported project focuses on deep learning of drug sensitivity and genetic dependency of pediatric cancers (https://reporter.nih.gov/search/w8hmKzZ5WUeSSduG94-ddQ/projects).

The PI has successful experience in acquiring the prestigious NIH/NCI K99/R00 Pathway to Independence Award and postdoctoral fellowships, as well as mentoring the F99/K00 predoc to postdoc transition award application. Candidates will receive dedicated mentorship on career development planning, career development awards, and postdoctoral fellowships such as the Hillman Postdoctoral Fellowships for Innovative Cancer Research (https://hillmanresearch.upmc.edu/research/hillman-fellows/postdoctoral/). The Chiu Lab is actively funded by NIH/NCI and intramural funds. The salary is commensurate with experience and based on current NIH guidelines.

Interested candidates should directly email Yu-Chiao Chiu, Ph.D., Assistant Professor (yuc250@pitt.edu) with curriculum vitae, one-page summary of research experience and interests, and contact information of three references. Review of applications will start immediately and continue on a rolling basis until the positions are filled. Individuals from underrepresented minorities or disadvantaged backgrounds are particularly encouraged to apply.

The University of Pittsburgh School of Medicine is ranked #5 in NIH funding and the #14 in the Best Medical Schools: Research. Pittsburgh has been consistently voted as one of the top livable cities in the US. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.