The Nathanson lab invites applications for Post-Doctoral positions at the Perelman School of Medicine University of Pennsylvania. The Nathanson laboratory focuses on translational research in cancer genetics, both in the inherited and somatic genetics of cancer. The laboratory investigates several cancers, among which are high risk breast cancer (BRCA1/2 and non-BRCA1/2), melanoma, testicular germ cell tumors (TGCT), pheochromocytoma and paraganglioma. Funded positions are available focusing on melanoma and testicular cancer. As the laboratory is translational in nature, expertise and interest in both analysis and wet bench studies is preferred, however applicants with only expertise in analysis would be welcome. Applicants will have the opportunity to engage in collaborative efforts at the national and international stage.
1) Testicular germ cell tumor
The candidate will have the opportunity to work on various projects involving the genetics of testicular germ cell tumor (TGCT). The main focus of the project is on inherited susceptibility of TGCT and will include fine mapping of known loci to identify causal variants using massively parallel sequencing and participation in an on-going international meta-analysis of multiple TGCT genome wide association studies (GWAS). These studies would be followed by investigation of potential causal variants using molecular biological techniques. Depending upon the applicant’s interest and expertise, projects also can encompass the somatic genetics of TGCT.
2) Melanoma
The candidate will have the opportunity to work on projects focused on the somatic genetics of melanoma, particularly in regards to acquired and intrinsic resistance to targeted therapy. The candidate will function as part of a highly collaborative group, and take the lead on and coordinate all aspects related to tumor sequencing, genomic analysis and associated data.
Requirements include a PhD degree or equivalent doctorate in Molecular Biology, Genetics or Computational Biology; excellent written and verbal communication; effective judgment and problem solving; highly motivated and committed to academic biomedical research; expertise in bioinformatics DNA analysis software; strong attention to detail, multi-tasking; and a willingness to learn new technologies.
Qualifications
1. The candidate will have a PhD, or equivalent doctorate, a strong background in human genetics, cancer genetics and genomics, biostatistics, population genetics, genetic epidemiology, computational biology and/or genomics, bioinformatics, or a related discipline.
2. The ideal candidate will have a track record of scientific productivity and leadership.
3. Applicants with prior experience in projects and data related to massively parallel sequencing, or with prior experience studying cancer will have a strong advantage. A working knowledge of computational tools routinely utilized in contemporary human genetics applications (e.g., PLINK, PLINK/SEQ, GATK) also is preferable.
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