Clinisys is a global provider of intelligent diagnostic informatics solutions and expertise designed to redefine the modern laboratory, across healthcare, life sciences, and public health. Millions of diagnostic results and data insights are generated every day using Clinisys’ platform and cloudbased solutions in over 3,000 laboratories across 34 countries. Headquartered in Tucson, Arizona, and Woking, England, Clinisys’ mission is to enhance the effectiveness of diagnostic workflows in any laboratory or testing environment and keep citizens and communities healthier and safer.

Clinisys' AI Philosophy

Building an AI‑first organisation 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. We must drive an AI-first sense of purpose and urgency.

Purpose (of the role):

As a Technical Engineer I – Application Interfaces working with the implementation team, you will deliver implementation and/or consulting to projects to achieve successful on-time projects with client satisfaction. As an integral part of this team, you will be primarily responsible for developing, installing, configuring, and supporting application and instrument interfaces, including file-based interfaces, data stream integrations, and translator deployments across the Clinisys Laboratory Solutions (CLS) platform.

Job Summary:

1. Essential Functions / Job Responsibilities

· Execute application-level tasks assigned through structured intake systems (e.g. ServiceNow), ensuring full adherence to the instructions, context, and acceptance criteria provided within each request.

· Interpret and apply detailed work instructions, templates, and supporting documentation to deliver consistent, high-quality outcomes across repeatable configuration activities.

· Operate within a process-driven delivery framework, ensuring tasks are completed efficiently, accurately, and in alignment with defined service levels and quality benchmarks.

· Follow established escalation pathways when task inputs, requirements, or instructions are unclear or incomplete, ensuring risks to quality or timelines are proactively managed.

· Develop and maintain application and instrument interfaces using C#, PL/SQL, and integration frameworks for CLS implementations.

· Build and implement file-based and data stream interfaces, including ingestion, mapping, transformation, acknowledgements, and near real-time data exchange.

· Install, configure, and maintain instrument translators, proxy services, and integration components to enable seamless system connectivity.

· Work with HL7, APIs, and CLS-specific protocols to ensure reliable interoperability across systems.

· Develop and optimise parser logic for data transformation, validation, and ingestion into CLS platforms.

· Leverage AI-first engineering practices (e.g., Copilot) to automate interface development, data mapping, testing, and deployment, while building reusable frameworks and repositories.

· Perform end-to-end testing, support requirements gathering, drive process improvements, and ensure high stakeholder satisfaction through scalable and standardised interface delivery.

2. Skills needed to be successful

· Ability to independently manage multiple interface implementations while prioritising competing demands.

· Strong expertise in interface technologies (HL7, APIs, file-based, data streams) and laboratory workflows (LIMS/LIS).

· Excellent analytical, problem-solving, communication, and presentation skills with strong client engagement capability.

· Proven experience in mentoring teams and leveraging automation tools with AI-assisted engineering practices (mandatory).

3. Required Experience & Education

· Bachelor’s degree in computer science, Software Engineering, Data Science, Bioinformatics, Healthcare, Life Sciences or equivalent relevant work experience

· 3+ years’ experience working with a LIS or LIMS system
3+ years’ experience with PL/SQL query writing (Oracle DB Knowledge preferred)
3+ years’ experience with C# programming
3+ years’ experience in:

o Interface development (file-based, data stream, HL7/API integrations)

o Parser development and interface installations

o Instrument translator setup and deployment

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4. Supervisory Responsibilities

· None

5. Shift Timings:

• This is a permanent role comprising a five-day week with shifts to cover our US and UK hours from Monday to Friday. For India these are UK shifts from 1:00 PM to 10:00 PM IST.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.