Job ID: 396548690
Job date: 2017-07-16
End Date:
Company : Memorial Sloan Kettering Cancer Center Country : Role :
Job date: 2017-07-16
End Date:
Company : Memorial Sloan Kettering Cancer Center Country : Role :
Job Description:
The Sr. Computational Biologist will work with an expanding team of research, clinical and computational investigators working in cancer genomics. We have a strong research focus on pediatric and blood cancers. We plan to prospectively profile all pediatric cancers by wholegonome as well as whole exome sequencing and RNA sequencing and study these alongside cell and patient derived xenograft models. To study the role of genetic and clonal heterogeneity in cancer we study spatially and temporally separated samples and accompany these by single cell derived experimental models. Additionally we routinely profile patients with advanced disease and no available therapeutic treatments, patients with no known drivers as well as active patients on our clinical trials. Our mission is to establish a fully integrated research program that coordinates basic scientific discovery, early-phase clinical trials, and drug development. As part of the center’s clinical and research investigations we are generating a wealth of genomic annotation data to inform clinical decision support and develop diagnostic and disease surveillance assays informed by molecular markers. To this effect we are also developing novel methods such as deep molecular barcoding assays for monitoring minimal residual disease and or circulating tumor DNA. The Computational Biologist will have a strong track record in analysis of genome data with programming and coding expertise. He or She will be involved in the experimental design of each project, analysis of high-throughput cancer genomics (DNA, RNA, methylation/ epigenetic data), co-ordination with clinical and research collaborators to produce high quality Data for presentation in international conferences and scientific publications. Required Qualifications:
Additional Info:
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 27th 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 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2017. We’re treating cancer, one patient at a time. Join us and make a difference every day. Our Affiliated departments and centers https://www.mskcc.org/research-areas/labs/elli-papaemmanuil https://www.mskcc.org/research-areas/programs-centers/center-hematologic-malignancies https://www.mskcc.org/research-areas/programs-centers/molecular-oncology https://www.mskcc.org/departments/pediatrics 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.[Click Here to Access the Original Job Post]
The Sr. Computational Biologist will work with an expanding team of research, clinical and computational investigators working in cancer genomics. We have a strong research focus on pediatric and blood cancers. We plan to prospectively profile all pediatric cancers by wholegonome as well as whole exome sequencing and RNA sequencing and study these alongside cell and patient derived xenograft models. To study the role of genetic and clonal heterogeneity in cancer we study spatially and temporally separated samples and accompany these by single cell derived experimental models. Additionally we routinely profile patients with advanced disease and no available therapeutic treatments, patients with no known drivers as well as active patients on our clinical trials. Our mission is to establish a fully integrated research program that coordinates basic scientific discovery, early-phase clinical trials, and drug development. As part of the center’s clinical and research investigations we are generating a wealth of genomic annotation data to inform clinical decision support and develop diagnostic and disease surveillance assays informed by molecular markers. To this effect we are also developing novel methods such as deep molecular barcoding assays for monitoring minimal residual disease and or circulating tumor DNA. The Computational Biologist will have a strong track record in analysis of genome data with programming and coding expertise. He or She will be involved in the experimental design of each project, analysis of high-throughput cancer genomics (DNA, RNA, methylation/ epigenetic data), co-ordination with clinical and research collaborators to produce high quality Data for presentation in international conferences and scientific publications. Required Qualifications:
- Masters in bioinformatics - or related quantitative discipline.
- At least 2 years experience in working with genome profiling data to include DNA NGS data, RNA- Seq and / or epigenetic platforms (CHIP-Seq, MBD-Seq, ATAC-seq, DNAse-seq or related platforms).
- Experience with next-generation analysis toolkits (PICARD, GATK, samtools, STAR)
- Advanced skills in Perl or Python
- R or R shiny applications
- Experience with wholegenome sequencing platforms
- Experience in Bioinformatics software development
- IT process management, version control, and use case testing
- Experience with parallelized computing
Requeriments :
Skills :
- Cancer Genomics
- Next Generation Sequencing
- Programing in Python
- Programming in PERL
- Programming in R
- RNA-seq
- Software Design
- Version Control
Areas :
Additional Info:
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 27th 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 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2017. We’re treating cancer, one patient at a time. Join us and make a difference every day. Our Affiliated departments and centers https://www.mskcc.org/research-areas/labs/elli-papaemmanuil https://www.mskcc.org/research-areas/programs-centers/center-hematologic-malignancies https://www.mskcc.org/research-areas/programs-centers/molecular-oncology https://www.mskcc.org/departments/pediatrics 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.[Click Here to Access the Original Job Post]