Data Delivery and Data Modalities Expert

Data Delivery and New Data Modalities Expert page is loaded## Data Delivery and New Data Modalities Expertlocations:
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Data de término: 8 de outubro de 2025 (5 dias restantes para se candidatar) job requisition :
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.### ### The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE, the Data & Digital Catalysts team is driving the modernisation of our computational and data ecosystems, enabling seamless data sharing and integration of new technologies. As a
** Data Delivery and New Data Modalities Expert**, you will play a pivotal role in shaping FAIR data practices and ensuring that high-quality data fuels AI/ML applications that ultimately benefit patients worldwide.

You will:
* Collaborate with automation, bioinformatics and machine learning teams to enable efficient data ingestion, acquisition, and storage.
* Lead or contribute to initiatives that modernise data management and curation solutions, embedding FAIR principles.
* Design and implement solutions that ensure data is ready for AI/ML, driving policy compliance and data quality.
* Support integrated systems with data architecture expertise, contributing to vision, standards and governance.
* Foster a One Roche, data-centric mindset by advocating for data standards and best practices across teams.### Who You Are You bring a strong mix of technical expertise, collaborative spirit, and curiosity. Your background includes:
* Proven ability in Python development and large-scale data management (lakes, warehouses, integration).
* Experience with distributed systems, APIs (Graph

QL, REST, Web Socket), and high-dimensional datasets such as genomics.
* Familiarity with cloud platforms (e.g. Redshift, Databricks, Snowflake, Spark).
* Knowledge of data governance, modelling (relational and non-relational), and agile methodologies.
* A scientific or engineering education, or equivalent practical expertise, with an ability to translate between science and technology.
Experience in biotech or pharma is a plus.#Computation

CoE# Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

The statements herein are intended to describe the general nature and level of work…