Technical Account Manager, New York

Job not on LinkedIn

November 12

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Logo of TetraScience

TetraScience

Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

📋 Description

• Providing a strategic technical partnership with Customers • Bridge the gap between business objectives and technical execution • Primary technical leader for scientific end-users • Design, architect, and deliver impactful solutions to pharmaceutical and biotech customers • Understand scientists' and R&D IT analysts' needs • Analyze their data environment • Assist in the design and implementation of solutions • Enable customers to achieve faster ROI, reduced risk, smoother scaling, and accelerated product adoption • Ensure long-term success of projects

🎯 Requirements

• Scientific background academic and/or 5+ years professional experience in Life Sciences • Senior Technical Architecture experience 5+ • Commercial tech sales support • R&D IT OR Data & Informatics • Data Modeling: Understand logical, physical, and conceptual data models. • Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks). • Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions. • Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud, • Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools. • Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements.

🏖️ Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements- remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching

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