TetraScience · 2 months ago
Scientific Data Architect - New York, NY
New York, NY
Full-time
Hybrid
Mid, Senior Level
4+ years expTetraScience is a leading company in the Scientific Data and AI sector, focusing on revolutionizing scientific data management. They are seeking a Scientific Data Architect to design and implement data models and solutions that capture and organize scientific data, while collaborating with cross-functional teams to drive innovation in biopharma R&D.
BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware
No H1B
Responsibilities
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 Copenhagen 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
Qualification
Required
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
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
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
Company
TetraScience
TetraScience is an R&D cloud data management company that empowers transformation in life sciences and drug discovery.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$99.14MKey Investors
Underscore VCWatersDigital Science
2021-04-15Series B· $80M
2020-05-01Series A· $11M
2019-10-31Series A· $8M
Leadership Team
Patrick Grady
CEO
Siping Wang
President & CTO
Recent News
Research & Development World
2026-01-16
Company data provided by crunchbase