7 дней назад
Senior Computational Biologist I, Center for Molecular Oncology (Cancer Genomics)
114 000 - 182 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Computational Biologist I, Center for Molecular Oncology (Cancer Genomics): Developing and applying computational methods for liquid biopsy, clonal hematopoiesis, and translational cancer genomics with an accent on next-generation sequencing analysis, reproducible workflows, and genomic-clinical data integration. Focus on building scalable pipelines, statistical and predictive models, and computational analyses of ctDNA, treatment response, and clinical outcomes.
Location: Hybrid, 323 E. 61 Street, New York City, United States; Monday–Friday, 9:00–17:00
Salary: $114,000–$182,400 per year
Company
is a cancer research and care institution focused on personalized treatment, translational research, and improving cancer prevention, diagnosis, and therapy.
What you will do
- Analyze and interpret next-generation sequencing data from MSK-ACCESS, CMO-CH, and related assays.
- Lead computational analyses of circulating tumor DNA, clonal hematopoiesis, treatment response, and clinical outcomes.
- Develop, automate, and maintain scalable, reproducible genomic analysis workflows.
- Build statistical and predictive models integrating genomic and clinical datasets.
- Collaborate with computational, laboratory, and clinical research teams.
- Contribute to manuscripts, grants, presentations, and translational research initiatives.
Requirements
- Master’s degree with relevant experience or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field.
- Strong programming skills in Python and/or R.
- Experience analyzing next-generation sequencing or large-scale genomic datasets.
- Experience with workflow management systems such as Nextflow, Snakemake, CWL, or WDL.
- Experience with Linux, HPC, and/or cloud environments, plus Git/GitHub and container technologies such as Docker or Apptainer/Singularity.
- Strong statistical analysis, scientific communication, independent problem-solving, and multidisciplinary collaboration skills.
Nice to have
- Interest in using emerging technologies, including AI-assisted tools, to improve research productivity.
Culture & Benefits
- Work within a multidisciplinary environment spanning clinical, laboratory, and computational research.
- Contribute to innovative translational and clinical cancer research.
- Support for scientific communication through manuscripts, grants, presentations, and research initiatives.
- Full-time exempt position with a Monday–Friday hybrid schedule.
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