Scientific Data Architect

Summary

Join TetraScience, a leader in Scientific Data and AI Cloud, and become a product-minded, outcome-obsessed driver of technical scientific solutions. You will be a critical team member in a unique partnership to industrialize Scientific AI, engaging directly with customers to understand their challenges and accelerate solutions. Responsibilities include designing and implementing data models, translating scientific workflows into robust solutions, and collaborating with cross-functional teams. This role requires a PhD with 7+ years or a Master's with 10+ years of experience in life sciences, a proven track record in AI/ML, and strong communication skills. You will be expected to prototype, demo, and build solutions to accelerate delivery for end-users. The position offers 100% employer-paid benefits, unlimited PTO, 401K, company-paid life insurance, LTD/STD, and remote work options.

Requirements

• PhD with 7+ years / 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 your excellent communication and storytelling abilities
• Advised scientists in a consulting capacity to further research, development, and quality testing outcomes

Responsibilities

• 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

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Company paid Life Insurance, LTD/STD
• Remote Work, when not visiting customers onsite