Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf, Darmstadt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design data models, implement scientific data solutions, and integrate lab software via APIs while closely collaborating with customers and cross-functional teams.
Job Technologies
Your role in the 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.
- Zusammenarbeit mit dem Produktteam, um unsere Roadmap zu entwickeln und zu priorisieren, indem wir die Schmerzpunkte der Kunden innerhalb und außerhalb der Tetra Data Platform verstehen.
- Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases.
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Our expectations of you
Qualifications
- 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).
Experience
- 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.
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What we offer
- Wettbewerbsfähiges Gehalt und Beteiligung am Eigenkapital in einem schnell wachsenden Unternehmen.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO). Flexible working arrangements - Remote work when not at Customer Sites.
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Topics You Will Work On
Job Locations
About Your Employer
TetraScience
TetraScience develops an innovative cloud platform focused on the harmonization and analysis of scientific data. With a focus on the biopharmaceutical industry, the company enhances the efficiency of research processes through centralized data solutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Scientific Data Architect
- Location
- Dusseldorf, Darmstadt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
