Bioinformatician I – Tisch Cancer Institute BiNGS Core

We are seeking an experienced bioinformatician for the Tisch Cancer Institute Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility to lead transcriptomics and epigenetics data analysis projects in Cancer biology.

The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC- RNA- and ChIP-seq CUT&RUN and HiC single cell ATAC- and RNA-seq single cell Multiome and Spatial Transcriptomics WGS and WES. BiNGS further provides services for data management bioinformatics tools development access to biocomputing resources web-based app development and advanced computational training in data analysis.We are focused on delivering a comprehensive rapid and user-friendly service.

More specifically we are working on multiple projects together with PIs in the Tisch Cancer institute and the broader Mount Sinai communityto analyze NGS related datasets. For example we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis transcriptomic analysis open chromatin analysis and transcription factor network analysis; in another project we are utilizing bulk and single cell and spatial transcriptomics to understand breast cancer metastasis to bone. Finally we are utilizing FIBER-seq (third generation PacBio long read sequencing) to better understand how chromatin remodelers shape the chromatin landscape.

We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy high attention-to-details and ability to work independently are critical competencies for the role. The ability to lead projects is a must. We feel that BiNGS presents a unique opportunity for bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation progression and metastasis andother diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians and their involvement in reducing racial bias in science through mentorship of URM in Science.

• Execute computational analysis for bulk RNA-seq ATAC-seq scRNA-seq and ChIP-seq and CUT&RUN.

• 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 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 TCI investigators and trainees.

• B.S. in Biological Sciences Bioinformatics Computer Sciences Statistics or related discipline; M.S. preferred
• 3 years experience required
• Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab R statistical package BioConductor Perl or C.

Preferred Skillset

• MSc in Bioinformatics or Computational biology with a focus on genomics or related discipline.

• Experience in analyzing and integratingbulk RNA-seq ATAC-seq.

• Knowledge of cancer biology chromatin biology and technologies such as next-generation sequencing.

• Proven experience with Perl R and Unix. Additional experience with standard genomics tools for high-throughput sequencing data analysis is preferred (e.g. Bowtie2 Cellranger Samtools STAR MACS2 and the UCSC genome browser).

• Experience in batch HPC cluster environment with a parallel file system.

• Ability to research analyze recommend communicate and implement data analysis solutions.

• Must be able to work as an individual while part of a small team.