Mount Sinai Morningside ยท 1 day ago
Bioinformatician II- Tisch Cancer Institute BiNGS Core
New York, NY
Full-time
Onsite
Mid, Senior Level
$66K/yr - $100K/yr
2+ years expMount Sinai Morningside is seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility. The role involves leading transcriptomics and epigenetics data analysis projects in cancer biology, focusing on enhancing scholarship and facilitating NGS data analysis for the ISMMS community.
Hospital & Health Care
Responsibilities
Execute computational analysis for bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome
Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses
Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on
Provide analyses and visualization for presentations and publications
Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data
The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test
Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC
Further managing of our HTML reports will be done on Amazon cloud
Provide training to TCC investigators and trainees
Qualification
Required
M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered
2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets
Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++
Preferred
MSc or PhD in bioinformatics, computer Sciences or related fields
Proven experience in analyzing bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome
Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser)
Experience with markup languages such as HTML is preferred
Proven ability to work on the AWS cloud
Experience in bash HPC cluster environment with a parallel file system
Proven ability to research, analyze, recommend, communicate, and implement solutions
Good understanding of chromatin biology, and NGS technologies
Must be able to work as an individual while part of a small team
Company
Mount Sinai Morningside
At Mount Sinai Morningside, we offer exceptional clinical care and research within the comfort of a neighborhood hospital known for compassion and sensitivity.
1001-5000 employees
H1B Sponsorship
Mount Sinai Morningside has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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2025 (5)
2024 (3)
2023 (26)
2022 (20)
2021 (6)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Faye Reiff-Pasarew
Deputy CMO, Associate Chief of Hospital Medicine, Assistant Professor of Internal Medicine
Lucy Xenophon, MD, MPH
Chief Transformation Officer
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