The Ideal Candidate:
- Curious and eager to learn
- Able to take initiative and contribute ideas
- Professional, reliable, and accountable
- Team player who collaborates well with others
- Adaptable and open to feedback
What You'll Do:
- Collaborate with stakeholders across departments to understand workflows, pain points and manual processes, and identify high-value opportunities for AI and automation.
- Gather and document business and technical requirements, use cases and success measures for automation and AI-enabled solutions.
- Design, build and maintain workflow automations using Python and low-code/no-code platforms (e.g., Power Automate, Power Apps) to eliminate repetitive manual tasks.
- Evaluate, prototype, test and help implement AI-enabled tools (e.g., Microsoft Copilot, generative AI assistants and machine learning services), under appropriate supervision and in accordance with company policies.
- Develop prompts, agents and AI-assisted workflows that improve productivity, and document guidance and best practices for their use.
- Apply responsible-AI principles, including data privacy, security, accuracy validation and human oversight, and support compliance with company policy and GxP/regulatory expectations.
- Develop and optimize SQL queries and data pipelines to extract, transform and prepare data from multiple sources for analytics, automation and AI use cases.
- Support data analysis initiatives by identifying trends, insights and opportunities for process improvement and measurable efficiency gains, and present automation impact and insights to technical and non-technical audiences through dashboards and visualizations in Tableau or Power BI (or similar tools).
- Support system integrations, API-based connections and enhancements under the guidance of senior IT or data team members.
- Track and report benefits of automation and AI initiatives (e.g., time saved, error reduction, adoption), and contribute to the transformation roadmap.
- Prepare and maintain documentation, including process maps, technical notes, testing evidence and user guidance, and support change management and user training.
- Participate in project meetings, provide status updates and contribute ideas to continuous improvement and innovation initiatives.
What You'll Need:
- Currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering or a related field.
- Strong analytical and problem-solving skills, with the ability to translate business needs into automation and AI-enabled solutions.
- Demonstrated interest and curiosity in AI, automation and emerging technologies, a willingness to keep learning, and awareness of responsible and ethical AI use, including data privacy, security and the limitations of AI outputs.
- Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
- Highly organized and detail-oriented, with the ability to manage multiple tasks at once, work independently and contribute effectively as part of a collaborative team.
- Experience with Python for scripting, automation and data analysis, and working knowledge of SQL and relational databases.
- Understanding of data fundamentals, including data cleaning, transformation and reporting, and familiarity with Tableau, Power BI or other data visualization and business intelligence tools.
- Familiarity with generative AI tools, prompt engineering and AI assistants such as Microsoft Copilot, along with exposure to AI and machine learning concepts, tools or frameworks.
- Familiarity with workflow automation or low-code/no-code platforms (e.g., Power Automate, Power Apps), and a basic understanding of systems, data flows and technology-enabled process improvement.
- Experience with APIs, ETL processes, RPA or data integration tools, and exposure to cloud platforms (e.g., Microsoft Azure) and cloud-based AI services.
- Understanding of AI governance, data protection or regulated (GxP) environments.
- Prior internship, academic project or practical experience involving AI, automation, data or systems.
We will never communicate with you via Microsoft Teams or text message
We will never ask for your bank account information at any stage of recruitment
Skills Required
- Currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering, or a related field.
- Strong analytical and problem-solving skills, including the ability to translate business needs into automation and AI-enabled solutions.
- Demonstrated interest in AI, automation, and emerging technologies, including awareness of responsible and ethical AI use, data privacy, security, and AI limitations.
- Strong written and verbal communication skills for working with technical and non-technical stakeholders.
- Highly organized and detail-oriented, able to manage multiple tasks independently and collaboratively.
- Experience with Python for scripting, automation, and data analysis.
- Working knowledge of SQL and relational databases.
- Understanding of data cleaning, transformation, and reporting.
- Familiarity with Tableau, Power BI, or comparable data visualization and business intelligence tools.
- Familiarity with generative AI tools, prompt engineering, AI assistants such as Microsoft Copilot, and AI or machine learning concepts.
- Familiarity with workflow automation or low-code/no-code platforms such as Power Automate and Power Apps.
- Basic understanding of systems, data flows, and technology-enabled process improvement.
- Experience with APIs, ETL processes, RPA, data integration tools, or cloud platforms such as Microsoft Azure.
- Understanding of AI governance, data protection, or regulated GxP environments.
- Prior internship, academic project, or practical experience involving AI, automation, data, or systems.
What We Do
We are a rapidly growing niche pharmaceutical services company operating in four key sectors:- Managed Access Programs (MAP) Unlicensed Medicines Access Clinical Trial Sourcing Reference Product Supply. Our goal is to provide positive measurable outcomes to patients and sponsors but above all else we want to be known as your “trusted partner” and an extension of your team. •UK headquarters established in London in 2008. •US Headquarters established in Research Triangle Park, North Carolina in 2012. •Our team has many years of pharmaceutical, clinical and regulatory experience gained in companies such as Pfizer, AZ, MSD, GSK, UDG Healthcare, Waymade, Sanofi, Quintiles & Walgreens Boots Alliance. •Our facilities have been inspected & licensed by the MHRA, UK Home Office, FDA and all necessary local approval bodies. •We are also approved to handle and distribute controlled substances. •We are compliant with all relevant GMDP regulations and operate to a high standard of medicines supply. •We operate under a comprehensive Quality Management System with robust and compliant standard operating procedures (SOPs) and policies. •Our customers and partners include Pharma, Biotechs, Generic and Biosimilar Developers, CROs and Healthcare and Hospital authorities. •We are fully committed to a culture of continual development and strive to service our partners needs beyond their expectations We would be happy to answer any questions that you may have regarding WEP Clinical and our products and services.







