Software Developer

Ripple
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$118,168.0 - $135,894.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Microsoft Windows Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Android Software Development Apple Mac Systems Software Applications Bash Shell C++ (Programming Language) Clinical Data Repository
+34 more
Cloud Computing Databases Continuous Integration Software Design Patterns Linux Programming Tools Elasticsearch Github R (Programming Language) Python (Programming Language) PostgreSQL MongoDB MySQL Natural Language Processing Performance Tuning Systems Development Life Cycle Tensorflow Responsive Web Design Scientific Computating Secure Coding Software Engineering Software Systems Systems Architecture Web Applications Jupyter Notebook Scripting Pytorch Gitlab Kubernetes Ripple (payment Protocol) Code Restructuring Devsecops Docker Vulnerability Analysis

Job description

Are you passionate about designing and developing secure, scalable software solutions that support cutting edge biomedical research and high-performance computing environments? Do you thrive in collaborative, multidisciplinary teams where your expertise in full software development lifecycle-from analysis and design to testing and deployment-can drive innovation in public health and scientific discovery?, Ripple Effect is seeking a highly skilled Software Developer with 6+ years of experience to support our client’s mission. The Software Developer will play a key role in supporting the National Library of Medicine (NLM)-a global leader in biomedical research and data science-in its efforts to accelerate biomedical discovery and improve public health through data-powered research. This role will involve full lifecycle software development in a multidisciplinary environment, contributing to the design, implementation, and maintenance of advanced biomedical applications and tools., * Analyze and Design Complex Systems: Conduct in-depth analysis of scientific and operational requirements to design robust, scalable, and secure software systems. Develop detailed technical specifications and architectural plans that align with NIH/NLM research objectives and infrastructure standards. Design, implement, and maintain software applications across diverse environments including Linux, Windows, MacOS, Android, and web-based platforms. Ensure cross-platform compatibility and performance optimization.

  • Full Software Development Lifecycle (SDLC) Participation: Engage in all phases of the SDLC-from requirements gathering and system design to coding, testing, deployment, and long-term maintenance. Apply Agile and DevSecOps methodologies to ensure iterative delivery and continuous improvement.
  • Collaborative Solution Engineering: Work closely with interdisciplinary teams of researchers, data scientists, clinicians, and IT professionals to develop software that supports biomedical research, clinical data analytics, and public health initiatives.
  • Performance and Usability Optimization: Refactor and enhance existing software systems to improve speed, reliability, scalability, and user experience. Implement responsive design and user-centered development practices.
  • Security, Accessibility and Compliance: Ensure all software adheres to federal cybersecurity standards including FISMA and FedRAMP. Implement secure coding practices, conduct vulnerability assessments, and support the development of System Security Plans (SSPs) and Authority to Operate (ATO) documentation. Design and develop software that meets Section 508 accessibility standards and NIH/NLM usability guidelines. Conduct accessibility testing and remediation as needed.
  • Documentation and Knowledge Sharing: Produce comprehensive technical documentation including system architecture diagrams, API references, user manuals, and training materials. Contribute to internal knowledge bases and support onboarding of new team members.

Requirements

Minimum Education and Experience

  • High School Diploma
  • 9 years of relevant professional experience, or a combination of education and experience that is equivalent to nine years

Basic Requirements

  • Experience in full lifecycle software development
  • Proficiency in programming languages such as C++, Python, Java, JavaScript, R, and scripting languages (e.g., Bash).
  • Experience with databases such as MySQL, PostgreSQL, MongoDB, and ElasticSearch.
  • Familiarity with development tools and environments including Jupyter Notebooks, GitHub, GitLab, and CI/CD pipelines.
  • Strong understanding of software engineering principles, design patterns, and best practices.
  • Experience working in Agile/Scrum development environments.
  • Excellent problem-solving, communication, and documentation skills.

To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what makes Ripple so great. Check out our capabilities.

Skills That Set You Apart

  • Experience in biomedical, clinical, or scientific computing domains.
  • Knowledge of AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, NLP libraries).
  • Familiarity with cloud-native development and container orchestration (e.g., Docker, Kubernetes).
  • Strong understanding of Section 508 compliance and accessibility standards.
  • Previous experience with NIH, especially NLM
  • Additional Years of Experience and/or advanced degree

If you don’t have all of the skills above, don’t be discouraged-no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply!

Benefits & conditions

Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences.

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