Postdoctoral Research Associate, Imieliski

1 month ago


New York, United States New York Genome Center Full time

The Imieliski and Gursoy Labs at the New York Genome Center are looking for an energetic and motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, engineers, and life science entrepreneurs. The successful candidate will be jointly mentored by Drs. Marcin Imieliski and Gamze Gursoy at the intersection of computational biology and cancer genomics and have the opportunity to also be affiliated with the medical schools at New York University and Columbia University. About the labs The Imieliski Lab applies cancer genome assembly to study long-range DNA structure in tumors using techniques such as short and long read sequencing, Hi-C, and Pore-C. A key goal of the lab is to understand how complex somatic DNA rearrangements shape the tumor epigenome and drive cancer progression. More fundamentally, the lab is interested in using structural variation as a lens to study genomic plasticity and somatic evolution. The lab is committed to translating clinically relevant basic research findings into genomic diagnostics and incorporating these into precision cancer care. The Gursoy lab develops tools to analyze and understand large-scale omics data in relation to diseases and phenotypes. A particular interest in the lab is to develop computational and experimental tools to map the regulatory wiring of the chromatin to interrogate the regulatory variation affecting the molecular phenotypes associated with diseases. They develop novel algorithms to impute and predict long-range chromatin interactions inspired by statistical mechanics, probabilistic methods, and neural networks using data types such as ChIP-seq, DNA methylation, and Hi-C & Pore-C. About the position We are looking for a postdoctoral scientist to develop computational tools for predicting and understanding genome organization and function in cancer. This position will be at the intersection of cancer genomics and computational biology, with co-mentorship by both PIs and membership in both labs. The postdoctoral scientist will lead an exciting project that combines cutting-edge statistical methods, machine learning, biophysical modeling and our understanding of cancer, with an opportunity to test and validate their findings in the wet lab in collaborations with the rest of team and labs at NYGC. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. Required Skills The candidate will hold a PhD or MD-PhD and have prior research experience in any of the followings: bioinformatics, computational biology and/or genomics and prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. Computer scientists or physicists with interest in biology who are looking to improve their computational biology skills are particularly encouraged to apply for this position. Salary & Benefits The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. NYGC: A cutting-edge environment for genomics The New York Genome Center (NYGC) is an independent, nonprofit academic research institution at the forefront of transforming biomedical research with the mission of advancing clinical care. A collaboration of premier academic, medical and industry leaders across the globe, the New York Genome Center is committed to advancing genomic research and offering clinical genomic testing so that new treatments, therapies and therapeutics against human disease can be developed. NYGC member organizations and partners are united in this unprecedented collaboration of technology, science and medicine, designed to harness the power of innovation and discoveries to advance genomic services. Diversity, equity, and inclusion are central to NYGC's core mission. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery - fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.



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