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. 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.

Lead Data

Scientist – Virtual Models on role for an experienced data scientist who wants to build something new. You will work closely with Managing Directors, laboratory scientists and QIMA's IT and AI experts. Examine the underlying data in detail, including its quality, structure, consistency, depth and breadth.

Build and manage the required data pipelines. Develop machine learning models and proof of concepts. Identify data gaps and recommend additional experiments where needed. Work with laboratory scientists to help define these experiments, including the required data, measurements and quality criteria.

Improve the models through repeated testing and iteration. Ensure that code, data and models are reproducible, traceable and properly documented. Present results clearly to scientific, technical,



commercial and non?As the programme grows, you may help build and lead a team of additional data scientists. recommend the one or two strongest projects; This should include sufficient scientific validation, an interface usable internally, and complete documentation or detailed operator training. a PhD in data science, biostatistics, bioinformatics, machine learning or a related field; 8–10 years of experience in data science, biostatistics and machine learning; a proven track record of delivering complex machine learning projects using complex biological datasets; strong experience building data pipelines, assessing data quality, identifying limitations and defining what additional data is needed;

experience working with scientists and translating scientific questions into data and modelling approaches; the ability to work independently and take ownership of an ambiguous, new project. The most important requirements are strong technical expertise, experience with biological data and the ability to turn complex datasets into useful, validated models.

Strong

Python or R skills, including production?quality, version?controlled code.

Experience with cloud data platforms (we use Snowflake) and MLOps practices. This is an opportunity to build a new capability from the ground up and shape how QIMA uses its biological data. You will have direct access to senior leadership, laboratory experts and technical teams, with the autonomy to define the approach and deliver tangible results. The role will be based in Europe and will require travel, depending on project needs, to QIMA laboratories in France, Northern Ireland and Germany. #

📌 Lead Data Scientist - Virtual Models (Madrid)
🏢 QIMA
📍 Madrid