Overview In this role you serve as the IT solution owner for the R&D; Data Science team, partnering with bioinformatics, molecular modelling and AI engineering to ensure alignment and effective collaboration. You will own and support Data Science applications, coordinating end-to-end delivery with specialized IT teams and external vendors. You act as the single point of contact for Data Science users, simplifying IT interactions and driving adoption.

You will help shape technology capabilities for R&D; Data Science, enabling faster insight and scalable solutions. This position blends science and technology to enable impactful, compliant data-driven research in pharma R&D.;

Responsabilidades

Lead demand intake, service coordination and project delivery for Data Science IT needs with stakeholders

Manage software development lifecycle of custom Data Science tools

Act as SPOC for Data Science users to streamline IT interactions

Evolve technology capabilities for R&D; Data Science across platforms and AI/ML workloads

Translate requirements into IT deliverables with clear scope and timelines

Coordinate governance, security, compliance and risk management for DS solutions

Ensure documentation, knowledge transfer and smooth handover to IT support

Maintain data science system maps and DS-developed software supporting R&D; operations

Ensure backup, data integrity, security and GxP compliance for systems and pipelines

Contribute to cost-efficient technology decisions aligned with long-term R&D; strategy





Drive agile project management to accelerate delivery and insight generation

Represent Data Science growth needs in IT planning for scalability

Design and evolve end-to-end DS architecture with cross-functional IT teams

Orchestrate cross-functional delivery across Data & AI, Infra & Ops, Security and Digital Solutions

Requisitos principales 5+ years in R&D; Pharma collaborating with bioinformatics and IT teams

Deep understanding of R&D; Data Science workflows (omics, bioinformatics, AI/ML pipelines, computational modeling)

Ability to translate scientific challenges into scalable IT solutions

Experience in HPC, cloud platforms (preferably Azure) or equivalent compute architectures

Strong knowledge of advanced computing environments supporting analytics and simulation workloads

Broad Pharma industry understanding including security and GxP compliance

Proficiency in Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Posit Workbench & Connect, package management and automation, Docker CI/CD, Kubernetes, LakeHouse/DataBricks

Experience in end-to-end data and cloud architectures for complex environments

Proven track record leading cross-functional teams including external vendors

Experience managing full solution lifecycles from ideation to production and evolution

Ability to enable innovation while balancing agility with enterprise architecture

Cross-functional collaboration

Stakeholder management

Strategic thinking

Python

Linux

Apache

📌 IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCE (Barcelona)
🏢 Almirall
📍 Barcelona