Scientific Data Architect

SciPro; Wien; Hybrid; EUR 80 000 - 120 000; Vollzeit

Zusammenfassung

A leading company in health tech, SciPro is seeking a Senior Scientific Data Architect in Vienna. The role involves shaping the application of AI and data in solving health challenges, requiring extensive experience in Pharma/Biotech and robust data modeling skills. You will collaborate across global teams to develop innovative, cloud-native solutions while fostering a culture of continuous learning and impact.

Leistungen

Competitive salary and equity

Generous PTO

Collaborative team-oriented culture

Qualifikationen

• PhD with 7+ years or MSc with 10+ years in Pharma/Biotech.
• Extensive knowledge of Drug Discovery and life sciences.
• Track record in architecting data solutions integrated with AI/ML.

Aufgaben

• Shape industry leverage of AI to solve health problems.
• Collaborate with global biopharma on data models and pipelines.
• Prototype and implement solutions using Python, SQL, AI/ML.

Kenntnisse

Data Modelling

Analysis

Python

SQL

NoSQL

AI/ML

Cloud-native tools

Ausbildung

PhD or MSc in Pharma/Biotech

Jobbeschreibung

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Headhunter specialising in the Dry Lab of Drug Discovery, Development and Diagnostics, accelerating innovation in purpose driven Biotechs.

SciPro is partnered with a fast-scaling health tech company at the forefront of the scientific AI revolution. Backed by top-tier investors, its platform, integrated with the leading cloud and AI infrastructure, is redefining how scientific data is harnessed across the life sciences sector.

Uniquely focused on scientific data engineering, they transform fragmented lab data into AI-ready, interoperable assets, accelerating discovery and development in some of the world’s most dominant biopharma innovators.

They are now seeking Scientific Data Architects (Senior/III) for these key client locations.

You Will:

• Directly shape how the industry leverages AI and data to solve some of the most complex problems in human health
• Collaborate with scientists and stakeholders across global biopharma, building extensible and scalable data models and intelligent pipelines
• Translate lab/scientific workflows into cloud-native, production-ready tools
• Own, prototype and implement these solutions using Python, APIs, SQL/NoSQL, AI/ML, AWS
• Define the operating system for next-generation science
• Hold visibility and influence across both customer environments and the product roadmap

You Should Have:

• PhD with 7+ years or MSc with 10+ years in Pharma/Biotech
• Extensive knowledge of Drug Discovery, Preclinical, CMC or similar life sciences domain
• Extensive experience of Data Modelling and Analysis (Python, SQL, NoSQL, Ontologies, etc)
• A track record of architecting productionised scientific solutions, integrated with AI/ML for Biopharma end users
• You thrive in an environment of continuous learning and development
• In this unique hands-on and client-facing role the ideal candidate should combine: technical fluency + a product mindset + ability to engage across scientific and technical teams

Location: Remote in Vienna, with onsite customer engagement ~ a couple of days per week.

Benefits and Package: Competitive salary and equity in fast growing company, generous PTO, collaborative, team-oriented culture.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Science

• Industries

  Pharmaceutical Manufacturing

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