美国儿童国家医院博士后职位招聘–生物信息学/计算生物学方向
Job description
A Bioinformatics/Computational biology postdoc position focusing on single or spatial proteogenomics is available in Dr. Chunchao Zhang laboratory at Children’s National Hospital and George Washington University School of Medicine and Health Sciences in Washington, DC. The majority of my research is geared towards interpretation and integration of different types of high-throughput omics datasets, including genomics, proteomics, and metabolomics, to understand the mechanism of the action of immunotherapy, search biomarkers and actionable drug targets in pediatric cancers.
The future research will focus on:
1) Cancer Immunotherapy and Translational Medicine: Biomarker discovery and therapeutic targets mining for CAR-T therapies by developing and analyzing high-throughput, high-dimensional multi-omics experiments at single cell level;
2) Personalized medicine: Development of bioinformatics algorithms to facilitate neoantigen discovery by high-throughput proteogenomics;
3) Spatial proteogenomics: Development of computational tools to support spatial proteogenomics at or near single-cell resolution.
Candidates will join the outstanding research community at Children’s National Hospital and George Washington University. Children’s National Health System, based in Washington, D.C., has been serving the nation’s children since 1870. Children’s National ranks #5 on 2023-2024 Best Children’s Hospitals Honor Roll, and is #1 for babies and ranked in every specialty evaluated by U.S. News & World Report and has been designated two times as a Magnet® hospital, a designation given to hospitals that demonstrate the highest standards of nursing and patient care delivery.
This pediatric academic health system offers expert care through a convenient, community-based primary care network and specialty outpatient centers in the D.C. Metropolitan area including the Maryland suburbs and Northern Virginia. Home to the Children’s Research Institute and the Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National is one of the nation’s top NIH-funded pediatric institutions.
Children’s National is recognized for its expertise and innovation in pediatric care and as a strong voice for children through advocacy at the local, regional and national levels. As the capital of United States, Washington DC is the hub of American politics and history. Washington DC metropolitan area (including Virginia and Maryland) is the home of people from diverse backgrounds, and is considered one of the best places to live and work in US. For example, Washington DC is ranked 4th by Business Insider as “Best Places To Live” in US, and many cities in the DC metro area are ranked as “Best Places To Raise A Family” (e.g., here).
Responsibilities of this position are:
1) Develop bioinformatics algorithms or computational tools to facilitate single-cell or spatial proteogenomics data analytics (e.g., single cell RNA-seq, 10X visium, LC-MS/MS or MALDI imaging);
2) Collaborate with web labs to understand tumorigenesis in brain tumor or other pediatric tumors.
Ideal candidates are expected to have a PhD degree in bioinformatics, computational biology, quantitative biology, computer science, or math/statistics. Applicants should submit a CV, a cover letter of research background and future research goals, and the contact information of three references letters by email to Chunchao Zhang ([Please click the Apply button for the link or address]).
Qualifications
•PhD degree in Bioinformatics/Computational biology/quantitative biology, Computer Science, or Math/Statistics;
•Solid programming skills, strong publication record and the ability to work independently;
•Experience in genomics and proteomics data analysis and development of bioinformatics algorithms or computational tools;
•Experience in developing R packages or python scripts.
•Ability to communicate and collaborate with other team members;
Responsibilities
•Develop bioinformatics algorithms or computational tools to facilitate single-cell or spatial proteogenomics data analysis (e.g., single cell RNA-seq, 10X visium, LC-MS/MS or MALDI imaging);
•Collaborate with web labs to understand tumorigenesis in brain tumor or other pediatric tumors.