Overview
Scientific Data Architect - United Kingdom
Who We Are
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
Who You Are
You are a product-minded, outcome-obsessed driver of technical scientific solutions. You are a high velocity self-starter who refuses to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. You have rich experience applying cutting edge data methodologies to the biopharma R&D domain and bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner with a track record of deeply learning new tools, methods, and domains. You embody extreme ownership and have a history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and AI/ML integration. This role requires extreme self-discipline and determination as we forge a category that will change the life science industry.
What You Have Done
* PhD with 7+ years or Masters with 10+ 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
* 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 excellent communication and storytelling abilities
* Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
What You Will Do
* 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:
*
o Data model design (tabular & JSON)
o Python-based parser development
o Lab software (e.g., ELN/LIMS) integration via APIs
o Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
o Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
o 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
Benefits
* 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
We are not currently providing visa sponsorship for this position.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Other
Industries
* IT Services and IT Consulting
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