Overview

NYUAD Bioinformatics Data Analyst Center Genomics and Systems Biology Jobs in Abu Dhabi – UAE at New York University

Title: NYUAD Bioinformatics Data Analyst Center Genomics and Systems Biology

Company: New York University

Location: Abu Dhabi – UAE

Type: Full Time


Category: Research/Development, Science

Position: NYUAD Bioinformatics Data Analyst in the Center for Genomics and Systems Biology

The NYU Abu Dhabi Center for Genomics and Systems Biology is seeking a full-time data analyst to support the growing needs of multi-disciplinary research projects at NYUAD.

The position will focus mainly on secondary analysis of genomics sequence data (beyond initial data QC, alignment etc.) and interpretation of experimental results within a biological context. The data analyst will function as an experienced collaborator/consultant working closely with research labs on individual projects. The analyst will also carry out independent assessments of new and existing tools/software and analysis methods.

The current research projects at NYUAD span gene expression analysis, variant discovery, population genetics, de novo genomes/transcriptomes, epigenetic modifications, single cell sequencing, RADseq, shotgun/amplicon metgenomics, and gene prediction.


This is a fantastic opportunity to join an energetic and dynamic team involved in software engineering, research project analysis, and data visualization. A highly motivated and independent research professional who is keen to expand his/her knowledge and contribute to a vibrant research environment will be a welcome addition to our team.

Experience and Educational Requirements (essential)

Education

PhD in a relevant field (e.g. Bioinformatics, Computational Biology, Life Sciences, Computer Science).

OR

MSc in a relevant field (e.g. Bioinformatics, Computational Biology, Life Sciences, Computer Science), with at least 3 years working experience.

Work Experience

Substantial experience in the analysis of high throughput sequencing (HTS) data.

Experience in variant calling analysis methods, tools, algorithms, and pipelines.


Experience in HTS quality assessment (pre and post analysis).

Experience in RNAseq analysis methods, tools, algorithms, algorithms, and pipelines relating to transcriptional profiling and differential gene expression analysis.

Experience with modern statistical and algorithmic techniques as applied to genomics.

Publication record in high-impact scientific journals.

Additional Experience (desirable)

Experience in metagenomics analysis (amplicon and shotgun sequencing), ChIP-seq analysis, and/or de novo sequence assembly (genome/transcriptome).

Experience in using Atlassian software (JIRA/Confluence).

Direct working experience within a genomics core facility/sequencing center.

Experience in delivering and preparing bioinformatics educational workshops/tutorials/seminars.

Computational Skills (essential)

Experience with the Unix commandline and one or more of the following: Shell scripting, Python, Perl.

Experience working in a High Performance computing environment (HPC) and using a job scheduler (preferably SLURM and/or PBS).

Experience with the statistical environment R or related tools (Matlab, SAS).

Professional Attributes (essential)

Excellent communication skills.

Highly motivated with ability to work independently and as part of an interdisciplinary group.

Excellent organizational skills.

Excellent multi-tasking skills and ability to work on multiple projects simultaneously.

Willingness to stay current with research trends and methods by participating in conferences, workshops and reading scientific journals.

This is an exciting opportunity to join a team of researchers who are passionate about what their work. We provide a fantastic working environ…

 

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