Developer II (Institute for Data-Intensive Engineering and Science)

The Johns Hopkins University

Baltimore (MD)

Hybrid

USD 55,000 - 97,000

Full time

6 days ago

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Job summary

The Johns Hopkins University’s Institute for Data-Intensive Engineering and Science (IDIES) seeks an entry-level Developer II to provide on-site operational support for the IDIES Data Center. The candidate should be familiar with relational databases, data analysis technologies, and using AI tools like Claude to assist day-to-day tasks.

The Developer II will participate in development, maintenance, production support, and documentation of various systems, including installation, testing, and

Qualifications

Bachelor’s Degree required.
One year of related experience with computer systems and applications preferred.
Substitution rules may apply for education/experience per university policy.

Responsibilities

Define business/clinical/education problems with clients and document findings.
Develop, test, and maintain application systems and data center tooling.
Provide on-site operational support and production monitoring for IDIES Data Center.
Analyze requirements, design solutions, write specifications, and maintain code and databases.

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