PSI CRO
Lead Software Developer (AI Solutions)

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Lead Software Developer (AI Solutions)
PSI is a leading Contract Research Organization (CRO) with 30 years of experience in the pharmaceutical industry. Originated in Switzerland, PSI is a privately owned, full-service CRO with a global reach, supporting clinical trials across multiple countries and continents. Our reputation for being highly selective about the projects we undertake highlights our commitment to delivering high-quality, timely services across a broad spectrum of therapeutic indications.
At PSI, we foster an environment where a diverse range of colleagues feel welcomed and valued. Our inclusive culture is a cornerstone of our success, enabling us to attract and retain top talent globally.
We are not just about conducting clinical trials; we are about building a community where every team member has the opportunity to thrive and contribute to groundbreaking advancements in the pharmaceutical industry.
Job Description
We are seeking a highly motivated Lead Software Developer (AI) to lead the architecture, development, and implementation of AI-driven solutions supporting Data Management processes within a Clinical Research Organization (CRO). This role is ideal for a professional who can independently drive the full AI/software development lifecycle - from input into the identification of AI-automation opportunities to deployment of AI-components and supporting the team in maintaining production-ready solutions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities:
Participate in the identification of opportunities for AI-driven automation and process optimization Architecture, develop, and implement AI/ML solutions for Clinical Data Management and operational processes using LLMs, RAG, traditional ML techniques, and rule-based approaches Define and execute strategies for model development, testing, validation, benchmarking, and training data preparation Integrate AI solutions into existing desktop and web-based software platforms (primarily C#/.NET applications) Collaborate with cross-functional stakeholders to ensure alignment with regulatory, quality, and operational requirements Prepare and maintain technical documentation related to software applications, AI models, and development processes Stay current with advancements in AI, machine learning, and software engineering technologies, and proactively evaluate their applicability within the organization
Qualifications
Bachelor's degree in IT or an equivalent combination of education, training, and experience Minimum 5 years of practical experience in AI/ML/NN/computer vision solution development Minimum 2 years of experience building Generative AI and LLM-based solutions Proficiency in Python; SQL (MS SQL) and vector (Qdrant) databases; document-centric AI workflows Experience with AI validation, explainability, hallucination mitigation, benchmarking, and confidence scoring approaches Understanding AI-agent orchestration (MCP Server) Experience with APIs, CI/CD workflows, Git, Azure DevOps, and production deployment practices Understanding of SDLC and MLOP Nice to Have


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Experience developing AI solutions within healthcare, life sciences, or CRO/pharmaceutical environments Experience integrating AI solutions into C#/.NET enterprise platforms Familiarity with Selenium, Playwright, or other automated testing frameworks
Additional Information
Make the right call and take your career to a whole new level. Join the company that focuses on its people and invests in their professional development and success. Our recruitment process is easy and straightforward, and we’ll be there with you every step of the way. We will guide and support you with information, making your experience as smooth as possible.
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