TetraScience is looking for a Scientific Data Architect to join our team. You will design and implement extensible, reusable data models that efficiently capture and organize scientific data for key use cases in life sciences. Your role will focus on translating scientific workflows into robust solutions leveraging our Tetra Data Platform.
What You'll Do
- Design and implement extensible, reusable data models that efficiently capture and organize scientific data.
- 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, and lab software integration via APIs.
- Develop data visualization and apps in Python using 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 interrogate proprietary instrument output files.
- Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption.
- 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.
- Rapidly learn new technologies to develop and troubleshoot use cases.
What We're Looking For
- A PhD with 7+ years or a Masters with 10+ years of industry experience in life sciences.
- Extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing.
- A proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
- Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
- Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes.
- Excellent communication and storytelling abilities to engage diverse audiences from scientists to executives.
- Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.
Technical Stack
- Python
- Streamlit
- holoviews
- Plotly
- AWS
- JSON
Team & Environment
You will collaborate with Scientific Business Analysts (SBAs), customer scientists, applied AI engineers, product managers, and software engineers.
Benefits & Compensation
- Competitive Salary and equity
- Supportive, team-oriented culture of continuous improvement
- Generous paid time off (PTO)
- Flexible working arrangements
Work Mode
This is a hybrid position based in the United Kingdom. The role involves remote work when not at customer sites.
TetraScience is an equal opportunity employer.
