Develop and implement custom pipelines for single cell RNA-sequencing data analysis


Job Description Summary:
Founded in 1824, the GW School of Medicine and Health Sciences (SMHS) is the 11th oldest medical school in the country and the first in the nation’s capital. Since its establishment, the school has been at the forefront of medical education, and has grown to include highly-ranked programs in the health and biomedical sciences. With dozens of top-tier residency programs, SMHS is a competitive and esteemed destination for medical school graduates across the country.
The Department of Biochemistry and Molecular Medicine (BMM) of the George Washington University, School of Medicine and Health Sciences (SMHS), strives to deliver the highest quality of professional education and training, and conduct cutting edge research in the areas of biochemistry, molecular genetics and genomics with a goal to better understand human disease. Additionally, the Department continues to have a long and successful record in training Undergraduate, Master and Graduate students at the George Washington University School of Medicine and Health Sciences.
We are seeking a highly motivated Bioinformatics Specialist 1 to contribute to the development and implementation of custom analytical pipelines for analysis of single cell RNA-sequencing data. The successful candidate will be responsible for designing and executing analytical pipelines to address project questions. The Bioinformatics Specialist will be in charge of the research and development process. Investigative research, research design, experimentation, data investigation, interpretation, and analysis for research initiatives are all part of the job. These jobs mine research data, establish research data specifications, write research data integration scripts, build data models, and manage and update research datasets. Bioinformatics is a branch of biology and computer science concerned with the collection, storage, analysis, and transmission of biological data, most often DNA and amino acid sequences.
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.
Minimum Qualifications:
Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 2 years of relevant professional experience. Degree must be conferred by the start date of the position.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:

MS or PhD in Computer Science, Bioinformatics, Computational Biology or related field preferred.
Understanding of key concepts in molecular biology and genetics/genomics.
Advanced skills in bash scripting, R and Python programming.
The ability to implement and optimize the use of newly developed tools for bioinformatics data analysis.
Familiarity with publicly available data and resources (i.e. TCGA, GTEx), and ability to extract and integrate information from them with newly generated results.
Experience with NGS data processing and analysis: alignment, assembly, gene expression estimation, differential gene expression.
Experience and understanding of analytical approaches for RNA-sequencing, DNA sequencing, and ChiP/ATAC-sequencing.
Familiarity with popular tools and packages for NGS data analysis (i.e. STAR, BWA, SubRead, GATK, Samtools, DeSeq2, Galaxy, etc.).
Experience and ability to create and work with databases.
Experience and understanding of analytical approaches for single cell RNAsequencing (scRNA-seq) and single cell ATAC-sequencing (scATAC-seq). Familiarity with popular tools for scRNA-seq analysis (i.e. CellRanger, STARsolo).
The ability to be productive and successful in a fast-paced and dynamic work environment. In addition, the ability to communicate and work with multiple PIs and post-docs and graduate students.
Proven writing and presentation skills. Ability to generate publication quality graphs, figures, charts, step-by-step instructions after completion of analysis.
Experience in bioinformatics system administration (configure software, manage/advice hardware setup) preferred.

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