About Virtual Science AI
Virtual Science AI is empowering life science teams to improve patient outcomes. We are working with world‑leading pharmaceutical organisations to help teams engage with healthcare stakeholders and to gain faster insights that support bringing the best solutions to patients. Headquartered in London with operations in Europe, North America, Latin America and Asia, Virtual Science AI creates cutting‑edge SaaS and AI solutions for the life science sector. This is a great opportunity to join a driven team that is passionate about delivering client solutions that make a meaningful difference to our clients’ work and patient outcomes.
Responsibilities
As a Delivery Engineer, you will be responsible for delivering Virtual Science AI’s data processing/analysis tools. You will work closely with the Delivery Engineer Lead on delivering a data processing pipeline and analytics features for products, and there will be side projects alongside the assigned main projects.
Candidate Profile
* Highly driven to deliver tech platform deliveries
* Happy to work with non‑technical teams and communicate
* Experience in data analysis / data processing
* Experience in working with SaaS and/or AI solutions
Requirements
* Good documentation writing skills
* Excellence in 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 working experience as a data engineer / data analytics / 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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