Ph.D., M.D. or an equivalent terminal or doctoral degree.
Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
Post Doc Instructions:
Please do not submit an application to this posting.� To apply for this postdoctoral research opportunity, follow the directions below in �Applicant Special Instructions�.
Department Name/Job Location:
This position is in the Department of Neurosurgery.� The position is located at the Medical School Campus.
A postdoctoral scholar position in single-cell cancer genomics is available in the laboratory of Dr. Allegra Petti at the Washington University School of Medicine. We use genomic techniques such as single-cell RNA-sequencing and spatial transcriptomics to better understand heterogeneity and gene regulatory networks in human cancer, with a focus on brain tumors. We participate in long-term, data-rich collaborations with established labs at Wash. U., in which quantitative analysis is closely integrated with clinical studies and molecular biology. The postdoctoral scholar will be involved in projects that address topics such as the interplay of genetic, transcriptional, spatial, and immunological heterogeneity in brain tumors (e.g. glioblastoma), and will be co-mentored by a faculty collaborators. This position is ideal for someone who would like to combine wet-lab work (data generation) with computational analysis. Opportunities to initiate and lead projects, develop new experimental or computational methods, publish, participate in ongoing group projects are plentiful.
PRIMARY DUTIES & RESPONSIBILITIES:
Generate single-cell RNA-sequencing, single-nucleus RNA-sequencing, and spatial transcriptomic data from primary human tumors, cell lines, and mice. Some technology development and optimization will be required.
Develop and maintain patient-derived cell lines and patient-derived mouse xenografts.
Analyze, interpret, and visualize single-cell RNA-sequencing data and spatial transcriptomic data in collaboration with bioinformaticians.
Evaluate and design experimental plans for downstream validation and experimental investigation of genomic hypotheses.
Communicate with collaborators, read the literature, learn about new technologies and methodologies, and write scientific publications.
Applicant Special Instructions:
Interested candidates should submit their curriculum vitae, statement of research interests, and contact information for three references via e-mail to Dr. Allegra Petti (email@example.com).
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Doctoral degree in genetics, genomics, cell biology, molecular biology, computational biology, immunology, or a related field.
Experience in cell culture, microscopy, mouse xenografts, and next-generation sequencing library preparation.
Previous experience in cancer genetics and genomics would be advantageous.
Demonstrated ability and experience in scientific programming and data analysis.
Self-motivated, adept at critical thinking, collaborative, and eager to acquire new knowledge and skills on a regular basis.
Ability to analyze and interpret results, communicate with others, and produce scientific publications.
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.