Company Description
At QIMA, we are on a mission to help our clients make products consumers can trust. We have developed compliance solutions for testing, inspection and certification (TIC) that enable supply chain agility, sustainability and product innovation. Our services are used by 30,000 businesses globally in the consumer products, agri-food and life sciences industries. Backed by 6,000+ dedicated Qimates worldwide, we bring local expertise and tailored support to every client. Our passion for service has made QIMA an industry leader for customer satisfaction, as highlighted by our exceptional Net Promoter Score (NPS).
Through our Life Sciences activities, we develop and deliver scientific testing and research services for our clients.
We are now launching a new programme to develop virtual pharmacology models. These models will use the data generated through years of laboratory work to help assess the efficacy of molecules and support future screening activities.
Job Description
We are looking for a Lead Data Scientist – Virtual Models to take ownership of this programme from the start.
This is a hands-on role for an experienced data scientist who wants to build something new. You will assess existing datasets across QIMA’s Business Units, identify the most promising opportunities, develop proof-of-concept models and prepare them for use by internal teams and, ultimately, by clients.
Initial Applications May Include Models Related To
• skin;
• hair follicles;
• longevity;
• prostate cancer;
• immunology.
You will work closely with Managing Directors, laboratory scientists and QIMA’s IT and AI experts. Scientific validation will be carried out in collaboration with independent laboratory teams.
Key Responsibilities
• Review and assess proposals from QIMA’s Business Units.
• Examine the underlying data in detail, including its quality, structure, consistency, depth and breadth.
• Recommend one or two models with the strongest potential for developm
📌 Lead Data Scientist – Virtual Models (Roma)
🏢 Qima
📍 Roma