Scientific Data & Informatics Lead (Pharma)

TL;DR

Scientific Data & Informatics Lead (Pharma): Driving the integration of scientific data and digital solutions across pharmaceutical Discovery and Development environments with an accent on FAIR data principles and scalable informatics solutions. Focus on bridging the gap between R&D and IT, designing sustainable data architectures, and optimizing research productivity.

Location: Hybrid • Prague (Czechia)

Company

hirify.global is an IT consultancy firm helping startups and corporations deliver innovative technologies across multiple industries including Pharma, Telecom, and Energy.

What you will do

• Lead scientific data and informatics initiatives across Discovery and Development domains.
• Collaborate with R&D, Data Science, and Bioinformatics teams to translate business needs into technology solutions.
• Drive the integration of structured and unstructured scientific data into existing application landscapes.
• Support the adoption of FAIR data principles and best practices for scientific data management.
• Ensure operational effectiveness and business continuity of scientific software platforms and data services.
• Coordinate cross-functional stakeholders to provide strategic guidance on IT investments and roadmaps.

Requirements

• Strong experience with scientific software and data platforms within the pharmaceutical industry.
• Expertise supporting Discovery Research, Drug Development, Cheminformatics, Bioinformatics, or Genomics functions.
• Deep understanding of scientific informatics and FAIR data principles.
• Experience with Software Development Lifecycle (SDLC) processes and delivery methodologies.
• Proven ability to bridge business and technology teams, particularly across R&D and IT.
• Strong project and stakeholder management skills.

Nice to have

• Background in Chemistry, Cheminformatics, Bioinformatics, Computational Biology, or related disciplines.
• Experience integrating scientific applications and enterprise platforms.
• Knowledge of laboratory informatics and cloud-based scientific environments.
• Experience leading global or cross-functional scientific technology initiatives.
• Familiarity with data governance and metadata management.