Postdoctoral Fellow, Computational Biology in Cancer - Chan Lab at Memorial Sloan Kettering Cancer Center
Memorial Sloan Kettering Cancer Center
Location: New York, New York
Academic / Research
Internal Number: 71170
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. One of the world's most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.
Vaccination for COVID-19 and Influenza (flu) is mandatory for all MSK staff. Staff are considered fully vaccinated upon completion of a primary vaccination series for COVID-19 (i.e., one dose of a single dose vaccine or a final dose of a multi-dose vaccine series). Exceptions from the COVID-19 and Influenza (flu) vaccine requirements are permitted for those who request and receive an approved medical, religious, or fully remote exemption. Requests for exemption can take up to two weeks to review. Vaccination or an approved exemption is required to start work.
The Chan Lab in the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and successful individual with a background in computational biology. The Chan Lab is a new, multidisciplinary group developing machine learning methods using cutting-edge single-cell and cell-free sequencing as well as spatial imaging to study how cell fate decisions mediate metastasis and acquired resistance across different cancer types, and how epigenetic and environmental factors guide this process. A central focus of our work is to quantify lineage plasticity (the capacity to switch to non-canonical phenotypes) to gain insight into the underlying molecular machinery and identify new drug targets to constrain or even reverse plasticity. Representative publications include:
Chan, et al. Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling. Science, 2022.
Chan, et al. Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer. Cancer Cell, 2021.
Schoenfeld, Chan, et al. Tumor analyses reveal squamous transformation and off-target alterations as early resistance mechanisms to first-line osimertinib in EGFR-mutant lung cancer. Clinical Cancer Research, 2020.
Offin, Chan, et al. Concurrent RB1 and TP53 alterations define a subset of EGFR-mutant lung cancers at risk for histologic transformation and inferior clinical outcomes. Journal of Thoracic Oncology, 2019.
Chan, et al. Topology of viral evolution. PNAS, 2013.
Singh, Chan, et al. Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma. Science, 2012.
This position will involve a mixture of methodological development and analysis of large-scale datasets of patient samples from a leading cancer center, as well as time-series analysis of sophisticated preclinical models through highly collaborative research. This position will require developing and maintaining software packages, assisting or leading in manuscript writing, engaging in a vibrant scientific community through regular work-in-progress and lab meetings, and other academic activities. For further information, please visit the lab website at www.joechanlab.org.
The ideal candidate should have:
A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field
Proficiency in Python and R
Prior experience in computational biology
Ability to engage in independent thinking
Excellent skills in written and verbal communication
Collegiality as a team member and a willingness to mentor other trainees
At least 1 published first-author manuscript
If you have any questions about this job opportunity, please contact:
Dr. Joseph M. Chan, MD, PhD
Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission.
Salary: $70,000-$85,000 (depending on postgraduate experience)
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.
At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes. For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.