Computational Biologist - Center for Molecular Oncology
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.
The mission of the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSKCC to establish novel genomic methodologies and conduct large-scale translational research involving molecular characterization of patient tumor specimens in order to identify correlations between genomic features and clinical outcomes.
The Berger laboratory, affiliated with the CMO, is a group of experimental and computational scientists dedicated to the characterization of genetic mutations in human tumors in order to identify biomarkers of cancer progression and drug response. Using massively parallel next-generation DNA and RNA sequencing, the lab is developing and applying methods to profile individual patient-derived specimens including tumor tissue and circulating tumor DNA for somatic base mutations and other genomic aberrations that may influence response to therapy. Having established the capability to prospectively sequence patients’ tumors to enable treatment selection, we are analyzing the vast clinical genomic data set of annotated tumor specimens spanning all cancer subtypes to identify prognostic and predictive biomarkers.
The Berger laboratory is seeking an outstanding Computational Biologist with a strong interest in performing computational oncology research with questions centered around understanding the patients’ tumors, their responses to treatment and mechanisms of disease progression. The candidate will interact with and learn from investigators with expertise in computational biology, genomic technologies, molecular pathology, and clinical oncology. The ideal candidate will demonstrate strong initiative, self-motivation, be an innovative thinker, exceptional communicator, capable of carrying out multiple tasks in a dynamic and fast-paced environment, and will enjoy working with an interdisciplinary team.
- Committed to applying genomic techniques for clinical benefit.
- A highly organized and self-directed scientist who enjoys working in a team, can manage multiple tasks simultaneously, and can solve problems independently.
- Experienced in both experimental and computational cancer genomic methodologies.
- Collaborative and an excellent communicator.
- Passionate about science with a desire to impact cancer and advance care for patients.
- Be an integral member of a team executing hypothesis driven research in translational computational oncology.
- Directly collaborate with clinical and translational researchers to address key clinical and biological questions.
- Perform data analysis and interpretation for molecular profiling based clinical and research experiments.
- Work with other teams within the CMO in developing computational tools and methodologies that will be widely used within the institution.
- Present results and progress updates at lab meetings, CMO meetings, to collaborating clinicians/researchers and outside conferences (if desired).
- Contribute to work that will be central to several major projects for which co-authorship is expected.
- Masters of Science in cancer biology, genetics, computational biology, or a related field.
- At least 2 years of experience in academic or corporate research.
- Familiarity with fundamental concepts and background in cancer biology research preferred (but not required)
- Hands-on experience managing, curating and analyzing large biological datasets
- Demonstrable working knowledge and application of basic statistics in biological data analysis
- Familiarity with genomics pipelines and best practices of analyzing next generation sequencing data (WES, WGS or RNA-seq, etc)
- Knowledge of standard bioinformatics concepts, methods, and tools.
- Ability to solve complex problems individually and as part of a team.
- Strong organizational and troubleshooting abilities, attention to detail and accuracy, and outstanding oral and written English communication skills.
- PhD in cancer biology, genetics, computational biology, or a related field.
- Extensive experience in cancer biology and cancer genomic analysis.
Competitive compensation packages | Sick Time |Generous Vacation+ 12 holidays to recharge & refuel| Internal Career Mobility & Performance Consulting | Medical, Dental, Vision, FSA & Dependent Care|403b Retirement Savings Plan Match|Tuition Reimbursement |Parental Leave & Adoption Assistance |Commuter Spending Account |Fitness Discounts &Wellness Program | Resource Networks| Life Insurance & Disability | Remote Flexibility
We believe in communication, openness, and thinking beyond your 8-hour day @ MSK. It’s important to us that you have a sense of impact, community, and work/life balance to be and feel your best.
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.