- Company: Get A Job.ai
- Location: Frankfurt am Main, Germany
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team is representing a confidential life sciences technology organization in their search for a Scientific Data Architect based in the Frankfurt am Main region. This role sits at the intersection of scientific domain expertise and modern data platform engineering, supporting critical R&D and quality initiatives for leading pharmaceutical organizations.
This is a client-facing position requiring regular onsite presence in the Frankfurt area (typically a couple of days per week), combined with flexible remote work arrangements. You'll be building transformative data solutions that accelerate scientific discovery and development.
Responsibilities
- Design and implement extensible, reusable data models that efficiently capture and organize scientific data for analytical and AI/ML use cases
- Translate complex scientific data workflows into robust technical solutions within a modern cloud-based data platform
- Develop Python-based parsers to extract and structure data from proprietary scientific instruments and laboratory software
- Build laboratory software integrations (ELN/LIMS) via APIs to enable seamless data flow
- Create data visualization applications and dashboards using Python frameworks such as Streamlit, along with plotting libraries like Plotly and holoviews
- Collaborate with scientific business analysts, customer scientists, and applied AI engineers to develop and deploy various modeling approaches (machine learning, statistical, mechanistic, and hybrid models)
- Engage directly with client scientists and stakeholders onsite, building strong relationships and deeply understanding their scientific data challenges
- Rapidly iterate solutions through regular demos and feedback sessions with scientific end users and technical stakeholders
- Proactively communicate implementation progress and deliver compelling demonstrations to customer stakeholders
- Contribute to product roadmap prioritization by identifying customer pain points and solution opportunities
- Continuously learn new technologies and scientific analysis applications to expand solution capabilities
What We're Looking For
Required Qualifications:
- PhD with 4+ years or Master's degree with 8+ years of industry experience in life sciences
- Extensive domain knowledge in one or more areas: drug discovery (target identification through lead optimization), preclinical development, chemistry/manufacturing/controls (CMC) for any drug modality, or product quality testing
- Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
- Strong experience with Python development, including data parsing, API integration, and application frameworks
- Demonstrated ability to perform exploratory data analysis and workflow optimization that enables previously impossible scientific outcomes
- Experience collaborating with cross-functional teams including product managers, software engineers, and scientific stakeholders
- Excellent communication and storytelling abilities, with experience engaging audiences from bench scientists to executive stakeholders
- Background in consulting or advising scientists to advance research, development, and quality testing outcomes
- Business proficiency in German required (C1 level)
- Must be authorized to work in Germany; visa sponsorship is not available for this position
Ideal Candidate Profile:
- Product-minded and outcome-obsessed with a bias toward action
- High-velocity self-starter who prototypes and demos to accelerate delivery
- Insatiable learner with track record of mastering new tools, methods, and domains
- Embodies extreme ownership and self-discipline
- Thrives in environments requiring direct collaboration with scientists and business leaders
How We Work With You
Candidates should apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to assess fit for both the technical requirements and the unique client-facing nature of this role. Qualified candidates will then be submitted to our client for their consideration.
Important: Please do not attempt to contact the client organization directly. All communication and coordination will be managed through our talent team to ensure a professional and streamlined process.
Pay
Compensation details will be discussed during the screening process and will be competitive with the German market for this level of scientific and technical expertise. Our client offers equity participation in a fast-growing organization, generous paid time off, and flexible working arrangements.
Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and are committed to fostering an inclusive recruitment process.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
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Listing facts
- Role Scientific Data Architect -Darmstadt or Düsseldorf, Germany
- Employer Get A Job.ai
- Location Frankfurt am Main, Germany
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 4, 2026
- Apply by October 4, 2026
- Country Germany
- Overview Full job description on this page (629 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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