Company Overview The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Job Description We are seeking a highly motivated candidate interested in developing and applying novel statistical methods in MSK’s interdisciplinary microbiome research program for a position as a postdoctoral fellow. The successful candidate will work on developing innovative high-dimensional statistical methods, scalable computational algorithms, and accessible software packages for MSK’s unique and continuously growing clinical microbiome database of more than 10,000 longitudinal stool samples with comprehensive metadata. This position presents exciting opportunities to advance our understanding of microbial associations with patient outcomes, medications, nutrients, or multi-omics, and to answer impactful clinical research questions in a data-driven approach. The successful candidate will collaborate with a closely-knit microbiome research team consisting of physician-scientists, computational biologists, and wet-lab research technicians, fostering mutual supports across various domains. The postdoctoral fellow will be co- mentored by Dr s. Teng Fei and Li-Xuan Qin for a n initial period of two years, with the potential for extension into a third year. The ideal candidate should possess : + A doctoral degree in biostatistics, statistics, computational biology, bioinformatics, or a related discipline. + Experience s in one or more of the following areas : high-dimensional data, compositional data , longitudinal / survival data , and mixture modeling . + E xperiences in high performance computing system and/or statistical software development . + E xcellent communication and teamwork skills . This position is open immediately until filled. Prospective applicants are invited to submit their CV, along with a letter expressing their interest and addressed to Dr s . Teng Fei and Li-Xuan Qin, as well as the names and contact information of three references . Submissions should be sent to: Maria Andrade Aray Assistant to the Chairman andradm@mskcc.org Salary: $55,439 – 100,940 #LI Onsite Closing MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Hospital Faculty & Trainee Career Opportunities Searchcurrent opportunities (https://facultytalent-mskcc.icims.com/jobs/search?ss=1&searchLocation=&searchCategory=&in\_iframe=1&hashed=-435744324) below. To learn more about the role and apply, please click directly on the position title. Job LocationsUSA-NY-New York Requisition Post Information* : Posted Date8 months ago(5/28/2024 9:28 AM) Requisition ID 2024-74665 Target Openings (Datafeed) 1 Category (Portal Searching) Hidden (339507) Pay Range $55,439 – 100,940