R&D Senior Data Architect and Engineer

About us

Based in Parma, Italy, Chiesi is an international research-focused pharmaceutical and healthcare group with 90 years’ experience, operating in 31 countries with more than 7,000 employees (Chiesi Group). To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group researches, develops and markets innovative drugs in its main therapeutic areas: Discover more here

We are proud to be the largest global pharmaceutical group to be awarded B Corp Certification, a recognition of high social and environmental standards. We are a reliable company that adopts and promotes a transparent and ethical behavior at all levels.

We believe that the success of Chiesi is built and shaped by our people and our strong set of shared Values and Behaviors. Our people make a critical difference to our success, which is why it is vital that we attract and retain the right talent who will continue to enrich our culture by living and breathing our values and behaviors.

In fact, we are a global family made up of different cultures, different genders, generations, ethnicities, abilities, sexual identities and many other enriching diversities. 

 

Chiesi Research & Development

Our R&D team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D project and portfolio management.  Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada) and Shanghai (China).

 

Who we are looking for

Purpose

As part of our broader digital transformation journey, Chiesi is spearheading the creation of a cutting-edge R&D Data Hub — an enterprise-wide platform designed not only to elevate data accessibility, interoperability, and governance across R&D domains, but also to accelerate scientific insight and unlock transformative value throughout the entire drug-development lifecycle. 
The (senior) Data Architect and Engineer will design, build and implement the data Pipeline for R&D while maintaining a coherent R&D data model. This role is both strategic and hands-on: you will define the overall R&D data architecture (covering discovery, Preclinical, Clinical, Regulatory, Pharmacovigilance, CMC) and build use-case driven R&D data pipeline  
The R&D (Senior) Data architect will work closely with Global IT to align with corporate strategy and infrastructure and with R&D domain experts to translate scientific requirements into data models and data products. The goal is to deliver scalable, compliant, FAIR (Findable, Accessible, Interoperable, Reusable) that enables self-service analytics and AI. 

Main Responsibilities

•    R&D Data Hub Architecture & Modelling:  

Design and implement the unified R&D Data Hub architecture, defining data integration frameworks and data models that represent complex R&D entities, enabling data lineage and interoperability across silos while ensuring alignment with enterprise IT to maximize business value delivery.  

•    Data Pipelines & Integration: 

Design, Build and implement scalable and secure ETL/ELT pipelines for structured and unstructured R&D data. Own the ingestion, transformation and consolidation workflows from multiple sources (lab systems, EDC, etc.), ensuring data is cleansed, standardized and ready for provisioning. Use modern data engineering tools and cloud services to optimize performance and reliability. 

•    MDM and Data Transformation Enablement: 

Define the Master Data Management (MDM) strategy for core R&D domains (e.g. compounds, assays, protocols), including golden-record models, matching logic and ingestion strategy as part of ETL/ELT design. 

Define and implement data quality rules for ETL/ELT in collaboration with functional SMEs and RnD Data product owner(s) 

•    Data Privacy, security & Access:  

Embed data security best practices into the architecture. Ensure the platform adheres to FAIR principles and to all R&D compliance requirements (GxP, GDPR, ISO 27001, etc.). Collaborate with IT on encryption, audit trails and security and access poli