Virtual Science AI is empowering life science teams to improve patient outcomes. We work with world‑leading pharmaceutical organisations to help teams engage with healthcare stakeholders and gain faster insights that support bringing the best solutions to patients.
Headquartered in London with operations across Europe, North America, Latin America and Asia, Virtual Science AI creates cutting‑edge software‑as‑a‑service (SaaS) and Artificial Intelligence (AI) solutions for the life science sector.
This is a great opportunity to join a driven team that is passionate about delivering projects that make a meaningful difference to our clients and patient outcomes.
Responsibilities
* Deliver Virtual Science AI’s data processing and analysis tools.
* Collaborate with the Delivery Engineer Lead to build data processing pipelines and analytics features for products.
* Engage in side projects alongside the assigned main projects.
Fit & Qualifications
* Highly driven to deliver tech platform deliveries.
* Happy to work with non‑technical teams and communicate effectively.
* Experience in data analysis / data processing.
* Experience working with SaaS and/or AI solutions.
Requirements
* Good documentation writing skills.
* Excellent communication skills.
* At least 1 year of experience in Python and JavaScript/TypeScript development.
* (Optional) Experience with cloud services such as AWS, Azure or GCP.
* Computer science or a relevant bachelor’s degree preferred.
* Previous experience as a data engineer, data analyst or data scientist is a plus.
* A master’s or PhD degree is a plus.
* Experience in BI tools, Docker and NoSQL is a plus.
* Relevant certification is a plus.
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