We are looking for a highly motivated postdoctoral fellow / computational biologist to join the laboratory of Dr Dana Tsui at MSKCC to develop informatics solutions for profiling circulating nucleic acids (DNA/RNA) in body fluids (plasma, urine, CSF), or so-called "Liquid Biopsy", of different cancer types for molecular diagnostics.
Our goal: (1) develop molecular assays to profile circulating tumor DNA or RNA from body fluids and (2) evaluate its utility in different solid cancer types
We work with clinical trial teams and research groups specialized in a variety of solid tumors across MSKCC to address different questions (for example, we collect longitudinal samples and aim to compare ctDNA dynamics with clinical responses to evaluate its informatively on treatment decision. The possible cancer types include: lung, breast, prostate, kidney, melanoma, brain, pancreas, etc, and we have a particular interest in paediatric cancers.
Our optimal goal is to develop an informatics workflow that can be implemented in the clinical workflow in a diagnostic laboratory setting.
Description of this role:
The successful candidate will participate in developing or optimizing analytical algorithm for NGS assays including targeted DNA/RNA sequencing, exome sequencing, whole genome sequencing, or DNA methylation.
Prior experience on analysis of MPS or NGS assays is necessary, preferably on data generated from FFPE or body fluids (plasma, urine, saliva, CFS) in pregnancy or pathological conditions (not limited to cancer). Experience on data analysis related to calling variants (point mutations / indel / structural rearrangement / copy number changes) or bisulfite DNA methylation (any of the above) will be necessary. Basic understanding of cancer genomics will be preferable. Basic understanding of the sequencing library preparation experimental workflow (different molecular strategies, such as capture, targeted etc) is preferable.
The development of analysis pipeline will be a jointed effort with the computational team(s) of the Innovation Laboratory of the Center for Molecular Oncology. Clinical implementation will be done in close collaboration with Diagnostic Molecular Pathology Laboratory. The ideal candidate will be a team-player with excellent communication and interpersonal skills.