Lead AI Software Architect for Clinical Data in Oxford

Lead AI Software Architect for Clinical Data in Oxford

Oxford Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
PSI CRO

At a Glance

  • Tasks: Lead the development of AI solutions for clinical data management and process optimisation.
  • Company: PSI, a global leader in clinical research with a commitment to quality and inclusivity.
  • Benefits: Career growth opportunities, professional development, and a supportive work environment.
  • Other info: Join a diverse team dedicated to groundbreaking advancements in the pharmaceutical industry.
  • Why this job: Make a real impact in healthcare by driving AI innovations in clinical trials.
  • Qualifications: 5+ years in AI/ML development, proficiency in Python, and experience with generative AI.

The predicted salary is between 70000 - 90000 £ per year.

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.

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
  • 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.

Lead AI Software Architect for Clinical Data in Oxford employer: PSI CRO

At PSI, we pride ourselves on being a leading Contract Research Organization that not only values high-quality service but also prioritises the growth and well-being of our employees. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional development in the dynamic field of clinical research. With a commitment to supporting groundbreaking advancements in healthcare, PSI offers a unique environment where your contributions truly matter.

PSI CRO

Contact Details:

PSI CRO Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Software Architect for Clinical Data in Oxford

Tip Number 1

Network like a pro! Reach out to current or former employees at PSI on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by brushing up on your AI knowledge and how it applies to clinical data management. We want to see your passion for the field, so be ready to discuss your ideas and experiences!

Tip Number 3

Showcase your projects! If you've worked on AI solutions before, bring them up during your conversations. We love seeing real-world applications of your skills, especially in healthcare or CRO settings.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you throughout the process!

We think you need these skills to ace Lead AI Software Architect for Clinical Data in Oxford

AI/ML Solution Development
C#/.NET Development
Python Programming
SQL (MS SQL)
Vector Databases (Qdrant)
Generative AI and LLM-based Solutions
AI Validation and Explainability

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead AI Software Architect role. Highlight your experience with AI/ML solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in clinical data management and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Python, SQL, and C#/.NET. We’re keen on seeing how you’ve applied these in real-world scenarios, so be specific about your achievements and contributions.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we’re here to support you throughout the process!

How to prepare for a job interview at PSI CRO

Know Your AI Stuff

Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to clinical data management. Be ready to discuss specific projects you've worked on, particularly those involving generative AI and LLMs, as this will show your hands-on experience.

Understand the CRO Landscape

Familiarise yourself with the role of a Contract Research Organization in the pharmaceutical industry. Knowing how PSI operates and their commitment to quality will help you align your answers with their values and demonstrate your genuine interest in the company.

Showcase Your Collaboration Skills

Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you ensure alignment with regulatory and operational requirements.

Prepare for Technical Questions

Expect to dive deep into technical discussions about AI/ML solutions, software architecture, and integration processes. Brush up on your knowledge of C#, .NET, and any relevant tools like Azure DevOps or CI/CD workflows, as these will likely come up during the interview.