Organisation Name: Memorial Sloan Kettering (MSK) center
Organisation Type:
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Country: United States
Job Description:
Company overview
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.
In compliance with applicable State regulatory authorities, COVID-19 vaccination 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 vaccine requirement are permitted for those who request and receive an approved medical or fully remote exemption. Requests for medical exemption can take up to two weeks to review. Vaccination or an approved medical exemption is required to start work.
*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 two months after completion of a primary vaccination series for COVID-19. Because vaccine-induced immunity can wane over time, MSK continues to strongly urge all staff to get a COVID-19 booster as soon as they become eligible to maintain their protective immunity for a longer period.
Job details
Are you hardworking and knowledgeable in human genetics and GWAS/WES studies? We need you! The Dey Lab in the Computational and Systems Biology program at MSKCC is searching for a hard-working and highly motivated Computational Biologist. You will work closely with computational, clinical, and research investigators to analyze disease GWAS/WES, single-cell omics, and other genomic data to decode the functional architecture of diseases at variant, gene, and cell levels. These analyses will guide the better design of drug targets and CRISPR screening assays. The candidate will contribute to many projects focused on understanding and improving human health.
You will!
Collaborate with collaborators to define experimental research aims and deliverables.
Process, analyze, and interpret GWAS, WES/WGS, and different types of omics data.
Monitor and evaluate analytical aspects of new and emerging technologies.
Deliver well annotated code and analysis, and maintain software and pipelines
Provide support to scientists in the lab in running computational pipelines and data preprocessing
Present scientific and technical data to colleagues clearly and cohesively.
Work independently in a multidisciplinary, fast-paced, and results oriented environment.
You have!
1-2 years of data science experience
Experience with Genome-wide association studies, Whole Exome/Genome sequencing studies, omics (RNA-seq, ATAC-seq, ChIP-seq), related analytical algorithms, and analysis toolkits
Proficient in data analysis with R and Python
Ability to independently propose and execute research ideas
Experience with parallelized computing on clusters and cloud-based computing
#LI-HYBRID, 3 days onsite, 2 days remote. Location : 417 East 68th street, New York, NY
