Lead Software Developer (AI Solutions) at PSI CRO

Oxford, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Development, Generative AI, LLM, Python, SQL, C#/.NET, RAG, Vector Databases, CI/CD, Azure DevOps, MLOps, SDLC, AI Validation, API Integration, MCP Server, Computer Vision

Industry

Pharmaceutical Manufacturing

Description

Company Description 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. 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 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.

Responsibilities

Lead the architecture and implementation of AI-driven solutions to automate Data Management processes within a Clinical Research Organization. This includes developing LLM and RAG-based components and integrating them into existing C#/.NET platforms.