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. We're treating cancer, one patient at a time. Join us and make a difference every day.
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*Staff working at a MSK New Jersey location must be up to date with COVID-19 vaccination, which includes having completed the primary COVID-19 vaccination series and booster once eligible as mandated by New Jersey State. All New Jersey staff not yet eligible for a booster must receive a booster within 3 weeks of becoming eligible as a condition of continued employment at MSK.
Note: Individuals are eligible to receive a COVID-19 booster five months after receiving the second dose of either the Pfizer or Moderna vaccine or two months after the J&J vaccine.
Do you want to join an innovative team and contribute to cancer research? Are you creative and interested in solving meaningful problems? Then join us here at MSK, where we can provide you with the opportunity to make a difference with your career. We believe that this is a great role for someone who has the right background to be a part of our dynamic team and who wants to apply their skills to support our mission here.
The Program in Computational Oncology and the Center for Hematologic Malignancies is searching for outstanding computational data scientists with a curiosity about developing and applying bioinformatic/quantitative methods to problems in translational cancer biology. You should have a proven background in both bioinformatics and cancer biology to lead and assist in innovative genomics analysis. This role represents an outstanding opportunity for the successful applicant to join the cancer research program at MSKCC, whilst being embedded with a team of computational biologists and bioinformatic engineers in the creative and supportive academic environment. The successful applicant will work closely with data scientists and clinical teams which provides a dynamic and exciting environment at the cutting-edge of translational cancer research, targeted therapies, metabolomics, and immunology.
A successful candidate would use state of the art analysis methods to review large scale data sets in many areas (for ex: genomics data, including whole-genome sequences, metagenomes, bulk RNA-Seq, ATAC seq, metabolomics, methylation arrays, RNA-se and single cell) in ground breaking research, including drug resistance, tumor plasticity, tumor evolution, metastasis, immunology, targeted therapies, clinical trial data, and computational biology. This candidate will also develop new methods and analyses and implement data quality control procedures. Additionally, the candidate would work with external collaborators and researchers within our group, gathering requirements for new research questions and providing interpretation of results produced by production pipelines and bespoke analyses and contribute to manuscript writing and publishing.
Collaborate with clinical and biological scientists to advance and complete hypothesis driven research
Dive deeply into sequencing datasets and ask novel and clinically relevant questions
Prepare and contribute to scientific manuscripts for publication in journals and conferences
Collaborate with academic partners at other institutions
Continue to research new developments in the field of computational biology and bioinformatics in order to apply these methods to new data sets
A science-focused individual with advancing computational and/or domain specific research questions; Someone with a deep fascination with molecular and cell biology
Excited by new datasets and the opportunity to look at data in new ways
A strong communicator and collaborator with a team-oriented attitude required to effectively collaborate with clinicians, biologists and engineers
Adept at building partnerships and working collaboratively with others to meet shared objectives and goals
A good decision-maker, capable of making timely decisions that keep the organization moving forward
Adept at learning quickly, applying insights from past efforts to new situations
To be considered for a Computational Biologist, you need:
Experience working with high throughput sequence data (preferred)
Possess understanding of principles behind contemporary computational techniques
Strong programming skills and experience with scientific computing software and scripting languages
Research experience in statistical genetics/genomics and familiarity with next-generation sequence data and analysis tools; cancer research strongly preferred
A thorough understanding and experience in statistics
Excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles also strongly preferred
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.