Job description

The Institute for Data-Intensive Engineering and Science (IDIES) is seeking an entry-level Developer II who can provide on-site operational support for the diverse and large scientific datasets hosted in the IDIES Data Center. The ideal candidate will have a good knowledge of the technologies used to analyze scientific data as well as familiarity with relational databases and how to manage day-to-day tasks for a data center, including how to use AI tools like Claude to facilitate these tasks. The Developer II participates in 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 homegrown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate business requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code. Specific Duties & Responsibilities Analysis & Requirements Gathering • Under guidance define 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 system requirements by meeting with clients and researching existing technology to understand the business requirements for new applications. Design & Development • Develop detailed tasks by analyzing project scope and milestones for projects to ensure product is delivered quickly according to software lifecycle standards. • Write functional/technical specifications by taking the provided system requirements, 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 solution for application development tasks. • Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support. Testing & Documentation • Create and document 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 handled 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 problems by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. • Provide support by triaging and resolving issues to ensure prompt, effective service. • Other duties as assigned. In addition to the duties described above • Working with SQL and relational databases. • Performing database management tasks (assisted by Claude as applicable). Minimum Qualifications • Bachelor’s Degree. • One year of related experience with computer systems and applications. • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Knowledge in the assigned application as well as the platform on which it runs. • Experience in working with scientists • Experience in working with scientific datasets • Must work independently with minimal supervision • Must be reliable in terms of completing assigned tasks without requiring repeated reminders • Must be able to learn new programming languages and technologies (including AI) quickly • Data Engineering and Cloud: AWS (EC2, S3), Snakemake, Docker, Singularity, Conda/Mamba, HPC/SLURM, • Visualization and Reporting: matplotlib, plotly, ggplot2, Shiny, Dashboards, GraphPad Prism • Machine Learning: scikit-learn, Random Forests, Feature Selection, Model Evaluation • Differential Expression, Enrichment Analysis, Clustering, PCA, SciPy • Data Analysis and Statistics: Exploratory Data Analysis, Data Cleaning and Wrangling, Hypothesis Testing, Regression, • Programming/Data Tools: Python, R, SQL, Java, pandas, NumPy, Jupyter, RStudio, Git/GitHub, Linux, Excel Expected Skills - Proficiency Level • Agile Methodology - Developing • Code Review - Developing • Debugging - Developing • JIRA -Developing • Microservices - Developing • Model View Controller - Developing • Product Life Cycle Management - Developing • Restful API - Developing • Secure Coding - Developing • Software Design Patterns - Developing • Software Development Life Cycle - Developing • Unit Testing - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Developer II Role/Level/Range: ATP/03/PC Starting Salary Range: $55,145 - $96,760 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: M-F, 37.5 hrs wkly FLSA Status: Exempt Location: Hybbrid/Mount Washington Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering

Requirements

Must-haves

Specific Duties & Responsibilities
Analysis & Requirements Gathering
Gather system requirements by meeting with clients and researching existing technology to understand the business requirements for new applications.
Design & Development
Develop detailed tasks by analyzing project scope and milestones for projects to ensure product is delivered quickly according to software lifecycle standards.
Write functional/technical specifications by taking the provided system requirements, 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 solution for application development tasks.
Testing & Documentation
Create and document 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 handled in a meaningful way.
Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references.
Implementation & Maintenance

Nice-to-haves

Knowledge in the assigned application as well as the platform on which it runs.
Experience in working with scientists
Experience in working with scientific datasets
Must work independently with minimal supervision
Must be reliable in terms of completing assigned tasks without requiring repeated reminders
Must be able to learn new programming languages and technologies (including AI) quickly
Data Engineering and Cloud: AWS (EC2, S3), Snakemake, Docker, Singularity, Conda/Mamba, HPC/SLURM,
Visualization and Reporting: matplotlib, plotly, ggplot2, Shiny, Dashboards, GraphPad Prism
Machine Learning: scikit-learn, Random Forests, Feature Selection, Model Evaluation
Differential Expression, Enrichment Analysis, Clustering, PCA, SciPy
Data Analysis and Statistics: Exploratory Data Analysis, Data Cleaning and Wrangling, Hypothesis Testing, Regression,
Programming/Data Tools: Python, R, SQL, Java, pandas, NumPy, Jupyter, RStudio, Git/GitHub, Linux, Excel

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlawsdockermachine learningpythonjavaagilejiraapi

Platform: eightfold
Effort: medium

Benefits

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