Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Düsseldorf, Darmstadt
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Datenmodelle, implementierst Lösungen für wissenschaftliche Daten und integrierst Lab-Software über APIs, während du eng mit Kunden und cross-funktionalen Teams zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the Frankfurt Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
- Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
- Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
- Own, scope, prototype, and implement solutions including: Data model design (tabular & JSON), Python-based parser development, Lab software (e.g., ELN/LIMS) integration via APIs, Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly).
- Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid).
- Programmatically interrogating proprietary instrument output files.
- Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings.
- Proactively communicate implementation progress and deliver demos to customer stakeholders.
- Collaborate with the product team to build and prioritize our roadmap by understanding customers' pain points within and outside Tetra Data Platform.
- Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases.
Unsere Erwartungen an dich
Qualifikationen
- Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
- Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
- Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
- Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
- Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.
- Business proficiency of German required (C1 level).
Erfahrung
- PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
Unser Angebot
- Competitive Salary and equity in a fast-growing company.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO). Flexible working arrangements - Remote work when not at Customer Sites.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TetraScience
TetraScience entwickelt eine innovative Cloud-Plattform, die sich auf die Harmonisierung und Analyse wissenschaftlicher Daten konzentriert. Mit einem Fokus auf die biopharmazeutische Industrie verbessert das Unternehmen die Effizienz von Forschungsprozessen durch zentrale Datenlösungen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Scientific Data Architect
- Ort
- Düsseldorf, Darmstadt
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
