Senior Research Associate, Bioinformatics Genomics

Job Description:
Antibiotic Resistance Action Center at George Washington University Milken Institute School of Public Health is seeking a skilled and collaborative candidate to study microbial genomics in a public health context. Competitive candidates will have experience in the following: 1) Phylogenetic and comparative genomics 2) Development of solutions for large genomic/-omic data analysis.

The successful applicant will be an innovative researcher with a collaborative attitude, and strong self-management skills, as the individual will participate in multiple projects at any given time. They will work under the supervision of a senior bioinformatics engineer.

Responsibilities Include:

• Analyze large genomic datasets from clinical and epidemiologic studies
• Manage high-performance computing systems
• Identify and develop novel approaches for data analysis in public health research.
• Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.

Qualified candidates will hold a master’s degree and 3 years of direct experience in a related discipline. Degree must be conferred by the start date of the position

Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications:

• Masters in Bioinformatics, Computational Biology, Data mining or related field.
• Demonstrated computer-programming skills in Java and/or scripting languages such as Perl and/or Python.
• Knowledge of Unix/Linux/Mac OS X/Windows platforms.
• Relational database expertise including SQL and schema design.
• Experience in metagenomic or microbiome data analysis, preferably applied towards large datasets.
• 2 years experience in Bioinformatics, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
• Undergraduate or graduate coursework in Microbiology, Biology, or related topics such as Epidemiology
• Knowledge of C/C++, R/S-plus.
• Ability to apply statistical and machine learning techniques to solve “big data” problems
• Experience in analysis of large multi-omics datasets, data mining, or methods for visualizing big-data.
• Experience with high-performance computing environment.
• Strong analytical and troubleshooting skills and experience or interest in working in a multidisciplinary team setting.
• Experience in phylogenetic, comparative genomic analysis, or bacterial genome assembly and annotation.
• Strong publication record, especially first-author manuscript(s).

Requeriments :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in computational biology

Skills :

• Bioinformatics
• Biology
• Data Mining
• HPC
• Lunix/Unix
• Machine Learning
• Metagenomics
• Microbiology
• Next Generation Sequencing
• Programing in C
• Programing in C++
• Programing in Python
• Programing Skills
• Programming in Java
• Programming in PERL
• Programming in R
• Software Design
• SQL
• Statistics

Areas :

• Bioinformatics

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