Bioinformatics Data Analyst

Organization
Johns Hopkins University
Job Location
Baltimore, MD 21205
Job Description

We are seeking a highly-motivated bioinformatics scientist to work in genomics research on our team. The candidate will serve as an integral member of a multi-disciplinary genomics research team by developing and implementing software tools, pipelines and workflows for analyzing high-throughput genomics, epigenomics, and transcriptomics data.

Duties and Responsibilities:
• Develop and implement scripts to parse, process, and analyze genome-wide data sets, including next-generation sequencing data from whole exome/genome sequencing, RNA sequencing, and methyl sequencing studies, as well as SNP array data from genome-wide association studies.
• Carry out data analyses in parallel on large compute cluster; integrate, organize and analyze program output.
• Manage research datasets on file servers and ensure their appropriate backup, completeness, correctness and integrity.
• Prepare reports of findings by compiling results, generating figurers, and preparing tables from analyses of genomic studies.
• Assist in preparing scientific presentations, grant applications and manuscripts, with the opportunity if appropriate to present at meetings and contribute as a lead and/or co-author on manuscripts.

Requirements

• Master’s degree in Bioinformatics, Computer Science, Statistical Genetics or related field required, Doctoral degree in one of these areas a plus.
• One or more years working with high-throughput genomics data, preferably with next-generation sequence data.
• Experience working in a Unix/Linux environment and managing large datasets
• Proficiency in shell scripting and/or programming language such as Python or Perl.
• Experience using analytic software such as R, SAS or Stata.
• Knowledge of web programming a plus.
• Strong oral and written communications skills and ability to work as part of a multi-disciplinary team
• Ability to work independently and manage multiple projects in a dynamic environment with changing priorities.

How to Apply

Interested candidates should submit an application to:

https://jobs.jhu.edu/jhujobs/jobview.cfm?reqId=309022&postId=9627

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