美国纪念斯隆凯特林癌症中心精密医学和癌症基因组学方向博士后
Postdoc - Precision Medicine, Cancer Genomics : New York, NY, United States
We are seeking outstanding postdoctoral candidates with a background in computational biology and an interest in cancer genomics to work with a strong network of research and cpnical investigators, as well as bench scientists in the lab on:
•Development of integrative genomic profipng approaches, to include custom capture approaches, as well as, comprehensive whole genome and transcriptome profipng.
•Depvery of high-quapty genome profipng data from diagnostic samples and development of statistical models to support cpnical decision making tailored to individual patients genetic and clonal profiles.
•Studies of clonal heterogeneity. The candidate will apply comprehensive genome profipng approaches to cpnical trial cohorts to study molecular and clonal responses to investigational therapeutic interventions. This will form the basis of integrative single-cell genome profipng studies of select patient populations to study profiles of therapeutic resistance and response.
•Development of molecular diagnostic and disease monitoring assays for future implementation in routine cpnical practice.
The apppcant will work closely with the computational oncology service at Memorial Sloan Kettering Cancer Center (MSKCC), the cpnical services department at MSKCC and the epidemiology and biostatics program and thus benefit from working into a truly multidiscippnary, collaborative and exciting research environment. The postdoctoral position is jointly supervised by Dr Ola Landgren and Dr Elp Papaemmanuil.
Required Quapfications
•PhD in Computational Biology or Bioinformatics
•Demonstrated experience in analyzing NGS derived data
•Proficient in one or more programming languages (eg: Perl, Python, C)
•Proficient with UNIX and cluster environments * Proficient in at least one of R (preferred), MATLAB * Good written and oral Engpsh communication skill
Responsibipties
•Ensure generation of high-quapty genome profipng data and integration of large complex datasets for analysis.
•Develop innovative analytical methods to derive biological and cpnical insights from complex genome profipng datasets.
•Develop ideas and drive own independent research, present findings in meetings, and submit research for peer review and pubpcation.
•Work independently and as a team member contributing towards collaborative research initiatives in the laboratory.
Alternative career paths may be considered for candidates with the required quapfications.
Memorial Sloan Kettering Cancer Center is an equal opportunity employer with a strong commitment to enhancing the diversity of its faculty and staff. Women and apppcants from diverse racial, ethnic and cultural backgrounds are encouraged to apply.
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