The Laboratory of Human Retrovirology and Immunoinformatics (LHRI) has collaborated with the National Institute of Allergy and Infectious Diseases (NIAID) and supported NIAID clinical trials for patients infected with HIV mutants resisting anti-retroviral therapy.
We are seeking an enthusiastic, creative, and collaborative computational scientist to support bioinformatics pipeline and application development for our broad portfolio of HIV, SARS-CoV2 and other clinically significant viruses' studies to provide collaborative bioinformatics support to the investigators in LHRI and other research laboratories at the ADRD, NIAID, NIH. If you have experience designing and deploying robust, reproducible, production-quality pipelines and application, then come join our talented team of bioinformaticians.One application we are maintaining DAVID (theDatabase forAnnotation,Visualization andIntegratedDiscovery, https://david.ncifcrf.gov/).
- Develop and maintain robust, tested pipelines for a wide variety of computational genomics applications
- Work with scientists and bioinformaticians to model and automate data analytics, visualization, and reporting workflows
- Applying industry best practices in planning, execution, and documenting systems, software, and APIs
- Provide end-users with technical support for deployment and execution of complex pipelines and web-based application
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in informatics, bioinformatics, information systems, computer science, statistics or closely related field required or eight (8) years of related experience. Foreign degrees must be evaluated for U.S. equivalency
- In addition to the education requirement, 0-2 years of progressively responsible experience
- Strong bioinformatics analysis pipeline and web-based application development skills
- Experience in bioinformatics software engineering and/or complex system management
- Competent in using Linux/Unix operating system command line interface.
- Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++
- Familiarity with relational databases design, data warehousing, and data modeling (e.g. MySQL)
- Experience with Nextflow, WDL or other workflow management systems
- Demonstrated experience with writing technical documentation of software
- Ability to obtain and maintain a security clearance
Candidates with these desired skills will be given preferential consideration:
- Experience with software testing types including unit, integration, regression, and acceptance tests, as well as related packages (e.g. unittest, pytest, TAP)
- Knowledge of various DevOps tools and technologies, such as Docker/Singularity, Kubernetes, Ansible/Terraform
- A portfolio of open-source software engineering projects