Bioinformatics DevOps Engineer/Developer - Advanced Molecular Detection
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Overview:
WiredPeople is seeking to hire aBioinformatics DevOps Engineer/Developer - Advanced Molecular Detection to help support genomic surveillance and outbreak investigations for pathogens of public health concern in Florida.
TheBioinformatics DevOps Engineer/Developer will work directly with the Bioinformatics Team, serving as abioinformatics developer and primarily support the development and implementation of a cloud computing architecture to improve and expand our current computational infrastructure.
Responsibilities:
Required:
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WiredPeople is seeking to hire aBioinformatics DevOps Engineer/Developer - Advanced Molecular Detection to help support genomic surveillance and outbreak investigations for pathogens of public health concern in Florida.
TheBioinformatics DevOps Engineer/Developer will work directly with the Bioinformatics Team, serving as abioinformatics developer and primarily support the development and implementation of a cloud computing architecture to improve and expand our current computational infrastructure.
Responsibilities:
- Plan and execute whole-genome sequencing analysis, comparative genomic analysis, and other analytic research projects, establishing new standard operating procedures (SOPs) by developing custom bioinformatics pipelines/workflows
- Select and develop appropriate analysis techniques and measures and identify and implement the necessary software and databases to complete defined analytical tasks
- Develop, manage, and curate databases for analysis.
- Identify, implement, and maintain data quality control, data submissions and management programs.
- Lead the development and implementation of a cloud computing architectureto improve and expand our current computational infrastructure
- Provide telephonic and web based technical assistance to other bioinformaticians, laboratory staff, and epidemiologists on the use of complex data analysis techniques and methods.
- Provide approved updates with analytical results from developed bioinformatic pipelines to be disseminated to laboratory and epidemiological staff
- Lead and coordinate with other bioinformaticians involved in analysis projects, including data sharing and engagement across multidisciplinary project teams
- Disseminate approved results of research projects in a wide range of venues including publications, peer reviewed journals, summaries, manuscripts, special reports, and oral/poster presentations
- Attend approved training workshops andcomplete a corresponding report on the training received
Required:
- A PhD in bioinformatics, genomic epidemiology, microbiology, virology, parasitology, evolutionary biology, microbial genetics, molecular biology, computer science, or related field
- Must have 5 years+ experience following your degree
- At least five years of practical and technical experience in microbial and/or public health bioinformatics
- At least five years of experience with bioinformatic development of pipelines for the phylogenetic and comparative genomic analysis of microbial organisms
- At least two years of experience with cloud computing
- Bioinformatics experience with microbiology and/or public health applications
- Experience working in a UNIX/LINUX environment and writing shell scripts
- Proficiency in at least one scripting/programming language (e.g., Python, Perl, R, C++, Java) and willingness to learn new languages, if necessary
- Experience developing custom scripts and executing command-line bioinformatics tools for microbial genomics comparative analysis (i.e., assembly, annotation, variant detection, multiple sequence alignment, phylogenetic tree building, pairwise SNP matrices, etc.)
- Experience in phylogenetics and interpreting comparative genomic data from microbial organisms
- Experience using git/github
- Experience querying and submitting genomic data from/to NCBI databases
- Excellent verbal communication with experience presenting complex, technical data to multidisciplinary teams
- Excellent written communication and experience publishing in the relevant scientific literature
- Strong background in phylogenetics of bacterial and/or viral pathogens
- Must have experience with AWS and/or Cloud
- Proficiency in Python and R
- Experience analyzing NGS data generated from Illumina, Oxford Nanopore, and PacBio platforms
- Experience with high-performance computing (HPC) and/or cloud computing
- Experience with Singularity and/or Docker
- Experience with Conda
- Experience developing and/or executing workflows using a workflow language (such as Snakemake, Nextflow, WDL)
- Experience with pathogen genomics, especially of public health concern
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