The Schatz Lab in the Biology Department at Johns Hopkins University is looking for ambitious individuals to fill a Senior Programmer Analyst position. Come and participate in developing one of the most popular, open source data analysis platforms for genomics. We are a friendly, ambitious research group at Johns Hopkins University working on some of the most popular software in genomics, including Galaxy (galaxyproject.org) and AnVIL (anvilproject.org). These software platforms help thousands of researchers each year solve their data analysis needs. In this position, you will work with cloud technologies, big data, and modern software packages to craft beautiful solutions to some of the most pressing challenges in data analysis.
This role will be responsible for the creation, implementation, maintenance, performance, production support, and documentation of various departmental and enterprise-wide application systems. This includes but is not limited to the installation, modification, and testing of new and/or upgraded applications (packages or home grown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate scientific requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part or the deliverables. Maintains databases and application system code.
Under limited guidance, responsible for the full life-cycle of small to medium sized moderately complex projects.
Demonstrates strong ability in technology and/or strong understanding of the business/clinical/education process.
Builds and maintains client relationships through positive interactions.
Roles & Interactions
Engage in the development of workflow systems, cloud computing-based solutions, and other projects involving high performance and data intensive computing and web-based visualization and visual analytics. Build novel interactive
visualizations or next-generation sequence data that leverages cutting edge web technology, informatics, data analysis and integration. Build and use tools to analyze large datasets generated by high throughput sequencing of DNA to understand genomes and genome function. Bioinformatics application areas such as sequencing, de novo assembly, metagenomics, transcriptome analysis and epigenetics.
Specific Systems, Applications, Projects for Which the Position is Responsible
Distributed computing and systems programming. Engaged in the development of workflow systems, cloud computing-based solutions, and other projects involving high performance and data intensive computing and web-based visualization and visual analytics.
Build novel interactive visualizations of next-generation sequence data that leverage cutting edge web technology, informatics, data analysis and integration.
Build and use tools to analyze large datasets generated by high throughput sequencing of DNA to understand genomes and genome function.
Bioinformatics application areas such as sequencing, de novo assembly, metagenomics, transcriptome analysis and epigenetics
Description of Scale/Size of Area, Project and/or System Supported
Galaxy was developed in an academic research environment, and members of the Galaxy team work closely with experimentalists on projects at the leading edge of data intensive biological research.
Thousands of researchers worldwide use Galaxy on a daily basis.
Galaxy is an open-source project committed to the openness of scientific enterprise and is free for all.
Specific Duties & Responsibilities
Analysis & Requirements Gathering
Define moderately complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes.
Provide written documentation of findings to share with the client and other IT colleagues.
Gather moderately complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications.
Design & Development
Develop detailed tasks and project plants by analyzing project scope and milestones for moderately complex projects in order to ensure product is delivered in a timely fashion according to software lifecycle standards.
Write functional/technical specifications by taking the provided system requirements and putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions.
Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for moderately complex application development tasks.
Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to knowledgebase systems to simplify code maintenance and to improve support.
Testing & Documentation
Create and document moderately complex test scenarios using the appropriate testing tools to validate and verify application functionality.
Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handling in a meaningful way
Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end user references.
Implementation & Maintenance
Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution.
Monitor changes and resolve moderately complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully in order to satisfy the requirements and to provide a smooth transition to the new solution
Provide support by triaging and resolving issues to ensure prompt, effective service.
The responsibilities listed above are typical examples of the work performed by this position. Not all duties assigned to this position are included, nor is it expected that everyone in this position will be assigned every job responsibility.
Three years related experience with computer systems and applications
Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula
Knowledge in the assigned application as well as the platform on which it runs.
Knowledge of Python, GitHub, SQL database, CI tools, cloud technologies
Experience with development of software for scientific research desirable.
Previous experience working with Galaxy and/or tools for analysis of genomic data a significant plus.
Special Knowledge, Skills, & Abilities
Research, design, and implement open source software for analyzing genomic data.
Prior familiarity with types of data and tools in genomics is helpful but not required.
Must demonstrate strong critical thinking and analytical reasoning skills.
Ability to work on multiple priorities effectively.
Ability to prioritize conflicting demands.
Ability to execute assigned project tasks within established schedule.
Ability to work collaboratively in a team environment.
Ability to communicate effectively in the service of users and colleagues
Writes and communicates clearly and concisely
Possesses sound documentation skills.
Ability to maintain confidentiality.
Must demonstrate exemplary customer service skills.
Classified Title: Sr. Programmer Analyst Working Title: Sr. Programmer Analyst Role/Level/Range: ATP/04/PD Starting Salary Range: $61,070 - $83,900 - $106,710 (Commensurate with experience) Employee group: Full Time Schedule: 5/7.5 Exempt Status: Exempt Location: 01-MD:Homewood Campus Department name: 10001352-Biology Personnel area: School of Arts & Sciences
Total Rewards The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports the health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
**Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
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