Job Description
Clinisys’ AI Philosophy
Building an AI-first organization is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI-enabled, cloud-based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health.
By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities.
Operating across more than 30 countries, Clinisys expects all colleagues, regardless of role or function, to work confidently with AI-enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve. All employees must drive an AI-first sense of purpose and urgency.
Essential Functions
- Develops software solutions across multiple subsystems within our applications, including collaboration with requirements definition, prototyping, architectural design, coding, testing, and deployment.
- Understands how our applications operate, are structured, and how customers use them.
- Researches new technology and development tools to remain informed of current trends.
- Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, code comments, and clearly readable code.
- Analyzes defects, performs root cause analysis, and collaborates to resolve issues.
- Complies with established internal quality systems and considers standards, best practices, and regulatory requirements as part of coding activities.
- Performs all other duties and responsibilities as assigned.
Skills Needed to Be Successful
- Clear, effective verbal and written communication skills.
- Good collaboration and teamwork skills.
- Solid knowledge of scripting and object-oriented software development principles.
- Functional knowledge of relational and/or non-relational databases.
- Solid development skills and overall understanding of software development methodologies.
- Understanding of refactoring or re-engineering solutions.
- Thorough knowledge of design principles and patterns.
- Solid understanding of Agile software development methodologies.
Required Experience & Education
- Bachelor’s degree in Software Engineering, Computer Science, or a related discipline, or equivalent experience.
- 1–2 years of experience with the software development life cycle, software testing methodologies, and quality assurance.
- Solid working knowledge of C#, JavaScript, RDBMS (Oracle preferred, SQL Server), OOPS concepts, multi-tiered application design and development, and HTML/DHTML.
- Experience using AI-powered tools for development, testing, and documentation.
- Understanding of prompt engineering.
Preferred Experience & Education
- Experience with cloud development or containerized deployments.
- Experience with agentic AI development tools and workflows.
- Knowledge of scientific data software, medical devices, or healthcare software.
