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.
We have strong momentum with our next-generation, advisory panel and insight management platform solutions being adopted and utilised by most of the top pharmaceutical companies and numerous biotech’s.
Headquartered in London and with operations in 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 driving satisfying client deliveries that make a meaningful difference to our life science clients' work and patient outcomes.
Who are we looking for?
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 data processing pipeline on analytics features for products. There will be side projects alongside the assigned main projects.
You are the right fit if you are:
* 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